Instructions to use ghadeermobasher/BioRED-Dis-WLT-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BioRED-Dis-WLT-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BioRED-Dis-WLT-384")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BioRED-Dis-WLT-384") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BioRED-Dis-WLT-384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/BioRED-Dis-WLT-384: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ghadeermobasher/BioRED-Dis-WLT-384/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/BioRED-Dis-WLT-384/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/BioRED-Dis-WLT-384/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 5a8082fa7c9d34863f722cb6eb9b213e0a6917f8ebf70d281826185ee4110754
- Size of remote file:
- 431 MB
- SHA256:
- ce7cc5bf3406c7fb72a269f29648c448020bfdfd7d0620943364959d31711fe4
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