Instructions to use NotXia/longformer-bio-ext-summ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NotXia/longformer-bio-ext-summ with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="NotXia/longformer-bio-ext-summ", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NotXia/longformer-bio-ext-summ", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90a5d01e2b689cafab07d92779ee5109009f9c98aaaa2e121d2c96a381a13ab8
- Size of remote file:
- 651 MB
- SHA256:
- 19bfa03d5f00f4e0fa6b5af68e53ad26cfc4ee6ab11cee26560272f8df2500b4
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