Instructions to use ghadeermobasher/Modified-BlueBERT-BioRED-Chem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Modified-BlueBERT-BioRED-Chem with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Modified-BlueBERT-BioRED-Chem")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Modified-BlueBERT-BioRED-Chem") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Modified-BlueBERT-BioRED-Chem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/Modified-BlueBERT-BioRED-Chem: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/Modified-BlueBERT-BioRED-Chem/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/Modified-BlueBERT-BioRED-Chem/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/Modified-BlueBERT-BioRED-Chem/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 95d44d30653a2d7b3f2f4287881ce65c2d09d04eeec73db03d7b2dd41967dd4a
- Size of remote file:
- 436 MB
- SHA256:
- cbf9521f314295afebe9f28de3ee18059f67d3fabe90b191dd2846bb3819c177
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