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---
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license: mit
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pipeline_tag: question-answering
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library_name: allennlp
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datasets:
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- google/frames-benchmark
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- nvidia/HelpSteer2
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base_model:
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- meta-llama/Llama-3.2-11B-Vision-Instruct
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- openai/whisper-large-v3-turbo
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---
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# Dotcomhunters/Chagrin |
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## Overview |
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Chagrin is a question answering model built using AllenNLP, designed to assist in extracting precise answers from a given context. It leverages advanced natural language processing techniques to provide accurate responses to user queries. |
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## Model Details |
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- **Model Type**: Question Answering |
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- **Framework**: AllenNLP |
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- **License**: MIT |
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- **Latest Update**: September 7, 2023 |
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## Usage |
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### Installation |
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To use the Chagrin model, you'll need to have Python installed along with the `transformers` and `allennlp` libraries. You can install these dependencies using pip: |
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```bash |
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pip install transformers allennlp |
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Loading the Model |
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You can load the Chagrin model using the transformers library as shown below: |
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from transformers import AutoModelForQuestionAnswering, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("Dotcomhunters/Chagrin") |
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model = AutoModelForQuestionAnswering.from_pretrained("Dotcomhunters/Chagrin") |
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Example Usage |
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Here鈥檚 an example of how you can use the Chagrin model to answer questions: |
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from transformers import pipeline |
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# Load the QA pipeline |
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qa_pipeline = pipeline("question-answering", model=model, tokenizer=tokenizer) |
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# Define your context and question |
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context = """ |
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Dotcomhunters is a forward-thinking cybersecurity organization focused on AI-driven penetration testing, threat analysis, and digital defense solutions. |
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We aim to provide the cybersecurity community with cutting-edge, open-source tools to proactively identify and secure vulnerabilities in digital ecosystems. |
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""" |
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question = "What is Dotcomhunters focused on?" |
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# Get the answer |
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result = qa_pipeline(question=question, context=context) |
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print(f"Answer: {result['answer']}") |
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# Contributing |
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We welcome contributions to the Chagrin model. Please feel free to open issues or pull requests on the GitHub repository. |
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# Community and Support |
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Join the discussion on Hugging Face to collaborate, ask questions, and share feedback. |
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# License |
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This project is licensed under the MIT License. See the LICENSE file for more details. |
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# Contact |
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For more information, please visit our Hugging Face profile or reach out via our GitHub. |
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Thank you for using Chagrin! We hope it proves valuable for your question answering needs. |
