Instructions to use VEG3/TLDR-Vegan-Studies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VEG3/TLDR-Vegan-Studies 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="VEG3/TLDR-Vegan-Studies")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VEG3/TLDR-Vegan-Studies", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5d2631e1d8dbf073e5340bf24fa8ca01f92dcff98adb59ea7da6ff8a0aac599
- Size of remote file:
- 2.95 GB
- SHA256:
- 59f28244b3278766252b3de90a961d6d03ee6d208b57b4c1bfbadc216fde0af2
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