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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b38a6b7bc49753e82f0cc05089765ebe0c717bfe089ba85d16a2388f7e8ad983
- Size of remote file:
- 4.35 kB
- SHA256:
- fc00a262fa61075a271ca4d20cd6310f15fd40fd88f3a4f0422e6bb51daf5b6b
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