Instructions to use dtorber/BioNLP-tech-intro-disc-no-attention-eLife with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/BioNLP-tech-intro-disc-no-attention-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-tech-intro-disc-no-attention-eLife")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-tech-intro-disc-no-attention-eLife") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-tech-intro-disc-no-attention-eLife", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c92c32e540845604f7e125ac076dc661060b5587e402473e0b6d43c013f72a82
- Size of remote file:
- 648 MB
- SHA256:
- 610c19103e37f5e4c9c2702ca9ca6594fab35ad95613eb29772db32f8eb1ad79
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