Instructions to use ghadeermobasher/CRAFT-Modified-BioBERT-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/CRAFT-Modified-BioBERT-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/CRAFT-Modified-BioBERT-512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/CRAFT-Modified-BioBERT-512") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/CRAFT-Modified-BioBERT-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghadeermobasher/CRAFT-Modified-BioBERT-512: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/ghadeermobasher/CRAFT-Modified-BioBERT-512/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/CRAFT-Modified-BioBERT-512/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/CRAFT-Modified-BioBERT-512/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 1d96955f097d2adbf0eb1b1d733f939dcc13b6418f9079042391a6cc7e83437e
- Size of remote file:
- 2.86 kB
- SHA256:
- d9072731eefa3eaee35138057a6853cc115983abd7bb42f6c92ee69cb5c8a8a8
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