Instructions to use ghadeermobasher/CRAFT-Modified-BioBERT-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/CRAFT-Modified-BioBERT-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/CRAFT-Modified-BioBERT-384")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/CRAFT-Modified-BioBERT-384") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/CRAFT-Modified-BioBERT-384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghadeermobasher/CRAFT-Modified-BioBERT-384: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/ghadeermobasher/CRAFT-Modified-BioBERT-384/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/CRAFT-Modified-BioBERT-384/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/CRAFT-Modified-BioBERT-384/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- ddabe9fac5ed30eb69270db8ed250edcc4d1cf69d42979d09172ecd228d5b0a6
- Size of remote file:
- 2.86 kB
- SHA256:
- 22f52eca9261cbbc968f42c2007900bb74834bde0d3f6b490e45e6990cf40a60
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