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
Download config.json from VEG3/TLDR-Vegan-Studies: direct link, hf CLI and curl.
- Browser
- Download file 1.48 kB
-
https://huggingface.co/VEG3/TLDR-Vegan-Studies/resolve/main/config.json
- Command line
-
hf download hf://VEG3/TLDR-Vegan-Studies/config.json
-
curl -L -o config.json https://huggingface.co/VEG3/TLDR-Vegan-Studies/resolve/main/config.json
1.48 kB
- Xet hash:
- 05d132ae92e03311115538a2744519161eb1d0006a6f802807c2cf2433b1641b
- Size of remote file:
- 1.48 kB
- SHA256:
- f34fe986fcddcca541c5ab22210589bf8df668633c46c9f5dca246bdc801bcd6
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