goldfish-models commited on
Commit
e15e033
1 Parent(s): 3288a86

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +4 -2
README.md CHANGED
@@ -12,7 +12,7 @@ library_name: transformers
12
  pipeline_tag: text-generation
13
  tags:
14
  - goldfish
15
-
16
  ---
17
 
18
  # run_latn_5mb
@@ -23,7 +23,7 @@ The Goldfish models are trained primarily for comparability across languages and
23
 
24
  Note: run_latn is an [individual language](https://iso639-3.sil.org/code_tables/639/data) code. It is not contained in any macrolanguage codes contained in Goldfish (for script latn).
25
 
26
- All training and hyperparameter details are in our paper, [Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024)](https://github.com/tylerachang/goldfish/blob/main/goldfish_paper_20240815.pdf).
27
 
28
  Training code and sample usage: https://github.com/tylerachang/goldfish
29
 
@@ -33,6 +33,7 @@ Sample usage also in this Google Colab: [link](https://colab.research.google.com
33
 
34
  To access all Goldfish model details programmatically, see https://github.com/tylerachang/goldfish/blob/main/model_details.json.
35
  All models are trained with a [CLS] (same as [BOS]) token prepended, and a [SEP] (same as [EOS]) token separating sequences.
 
36
  Details for this model specifically:
37
 
38
  * Architecture: gpt2
@@ -60,5 +61,6 @@ If you use this model, please cite:
60
  author={Chang, Tyler A. and Arnett, Catherine and Tu, Zhuowen and Bergen, Benjamin K.},
61
  journal={Preprint},
62
  year={2024},
 
63
  }
64
  ```
 
12
  pipeline_tag: text-generation
13
  tags:
14
  - goldfish
15
+ - arxiv:2408.10441
16
  ---
17
 
18
  # run_latn_5mb
 
23
 
24
  Note: run_latn is an [individual language](https://iso639-3.sil.org/code_tables/639/data) code. It is not contained in any macrolanguage codes contained in Goldfish (for script latn).
25
 
26
+ All training and hyperparameter details are in our paper, [Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024)](https://www.arxiv.org/abs/2408.10441).
27
 
28
  Training code and sample usage: https://github.com/tylerachang/goldfish
29
 
 
33
 
34
  To access all Goldfish model details programmatically, see https://github.com/tylerachang/goldfish/blob/main/model_details.json.
35
  All models are trained with a [CLS] (same as [BOS]) token prepended, and a [SEP] (same as [EOS]) token separating sequences.
36
+ For best results, make sure that [CLS] is prepended to your input sequence (see sample usage linked above)!
37
  Details for this model specifically:
38
 
39
  * Architecture: gpt2
 
61
  author={Chang, Tyler A. and Arnett, Catherine and Tu, Zhuowen and Bergen, Benjamin K.},
62
  journal={Preprint},
63
  year={2024},
64
+ url={https://www.arxiv.org/abs/2408.10441},
65
  }
66
  ```