Instructions to use dtorber/BioNLP-2024-dtorber-baseline-eLife-PLOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/BioNLP-2024-dtorber-baseline-eLife-PLOS 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-2024-dtorber-baseline-eLife-PLOS")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-2024-dtorber-baseline-eLife-PLOS") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-2024-dtorber-baseline-eLife-PLOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87cf71522d8f6f392553a187f38590b70e3fff486337bc0d7c382d665c940848
- Size of remote file:
- 648 MB
- SHA256:
- f657cd44d1a56a92902b700e92ed9cbd7558b32d3c0f077621bc38a4da5d9732
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