Instructions to use dtorber/BioNLP-intro-disc-tech-eLife with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/BioNLP-intro-disc-tech-eLife 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="dtorber/BioNLP-intro-disc-tech-eLife")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-intro-disc-tech-eLife") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-intro-disc-tech-eLife") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8274c38ec222318ef618779d16c20a07c5df2c8c0aecd07c8dc7a1d3a01254e
- Size of remote file:
- 648 MB
- SHA256:
- 376bb1f430989421807c5e03766ffdaa446a8cf067351a25e7bca9253f1090a1
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