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--- |
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license: other |
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language: |
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- en |
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- ko |
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- zh |
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- fr |
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library_name: fasttext |
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pipeline_tag: text-classification |
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--- |
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# Open fasttext LangID models |
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<!-- Provide a quick summary of what the model is/does. --> |
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This repo makes readily available several fasttext based open langID models. |
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While the use and distribution of this collection itself is available according to Apache 2.0, |
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but individual models maybe under different more stringent licenses and end users MUST ensure the licenses before distribution or usage. |
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Quantized versions have been derived by the author [Chris Ha]([email protected]) |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [Individual Developers] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** [Fasttext Classifier] |
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- **Language(s) (NLP):** [Multilingual] |
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- **License:** [More Information Needed] |
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- **Finetuned from model [optional]:** [Individual models] |
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### Model Source for lid.176 |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [FastText 176](https://fasttext.cc/docs/en/language-identification.html) |
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- **Paper :** [An Open Dataset and Model for Language Identification](https://arxiv.org/abs/2305.13820) |
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- **Languages :** 176 |
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- **Filesize :** 938013 bytes |
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- **SHA-384 :** 574c310c8d82540a8765d28140bf3e6cd01ceb7d164c9ec205c518254bfa0333ae1b80aab7ceff56e7159eced98a3d37 |
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### Model Source for OpenLID |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [An Open Dataset and Model for Language Identification](https://github.com/laurieburchell/open-lid-dataset) |
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- **Paper [optional]:** [An Open Dataset and Model for Language Identification](https://arxiv.org/abs/2305.13820) |
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- **Languages :** 201 |
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- **Filesize :** 158024393 bytes |
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- **SHA-384 :** 99b86a2121f71fdfd801715ed19a09e5e1eee42c2f0bc6340c6aa40dd737757346733a87be130091bc01c4976973d250 |
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### Model Source for NLLB langID(lid218e) |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [fastText (Language Identification)](https://huggingface.co/facebook/fasttext-language-identification) |
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- **Paper [optional]:** [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) |
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- **Demo [optional]:** [More Information Needed] |
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- **Languages :** 218 |
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- **Filesize :** 149855754 bytes |
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- **SHA-384 :** a6fda88d22d2228b0beb6025ccde5da582ec8eb6679a57f4b3794b127658749653c7d6db8a17fcbe2f86c9678b20ae9f |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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Language Classification |
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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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Language Classification |
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[More Information Needed] |
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### Downstream Use [optional] |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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Refer to details of each model |
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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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Refer to details of each model |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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Refer to details of each model |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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[More Information Needed] |
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### Training Procedure |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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#### Speeds, Sizes, Times [optional] |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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[More Information Needed] |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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<!-- This should link to a Data Card if possible. --> |
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[More Information Needed] |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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- **Hardware Type:** [More Information Needed] |
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- **Hours used:** [More Information Needed] |
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- **Cloud Provider:** [More Information Needed] |
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- **Compute Region:** [More Information Needed] |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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[More Information Needed] |
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## Model Card Contact |
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[More Information Needed] |
