Instructions to use IEETA/BioNExt-Extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IEETA/BioNExt-Extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="IEETA/BioNExt-Extractor", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IEETA/BioNExt-Extractor", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a1f0fbd246fafa732e6b22beb2258e5804781040206fec79357502816e9306a
- Size of remote file:
- 1.35 GB
- SHA256:
- 32f371a5688163ffd745b58918b63752337769ef7223c9ad3702e5af33d06bd1
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