Instructions to use ncats/EpiExtract4GARD-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncats/EpiExtract4GARD-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ncats/EpiExtract4GARD-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ncats/EpiExtract4GARD-v2") model = AutoModelForTokenClassification.from_pretrained("ncats/EpiExtract4GARD-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
1f7bd2d
-
Update README.md
e172865
-
Update README.md
f89c203 -
Update README.md
41f5cdc -
Update README.md
84933df -
Upload vocab.txt
7c4bda8 -
Upload test_predictions.txt
30be167 -
Upload pytorch_model.bin with git-lfs
e847563 -
Upload eval_results.txt
92f83eb -
Upload eval_predictions.txt
3e77170 -
Upload config.json
81857ef -
Delete vocab.txt
8f0e064 -
Delete training_args.bin
3f8fe1f -
Delete test_predictions.txt
f82018f -
Delete pytorch_model.bin
f5f2377 -
Update README.md
6908e9e -
Update README.md
89fc354 -
Upload wandb-summary.json
72626b4 -
Upload wandb-metadata.json
f040195 -
Upload vocab.txt
ddd6e0e -
Upload training_args.bin with git-lfs
812a08e -
Upload tokenizer_config.json
cce8aad -
Upload test_results.txt
068b8a6 -
Upload test_predictions.txt
cc0965c -
Upload requirements.txt
cdb1c8a -
Upload special_tokens_map.json
02e017f -
Update README.md
a3eb27c -
Update README.md
3b0c45e -
Upload README.md
3c36b74 -
Upload pytorch_model.bin with git-lfs
d770b06 -
Upload license.txt
dbfefc1 -
Upload output.log
77de83f -
Upload config.yaml
0e43662 -
initial commit
11ff349