Instructions to use facebook/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/bart-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large") model = AutoModel.from_pretrained("facebook/bart-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download rust_model.ot from facebook/bart-large: direct link, hf CLI and curl.
- Browser
- Download file 2.04 GB
-
https://huggingface.co/facebook/bart-large/resolve/main/rust_model.ot
- Command line
-
hf download hf://facebook/bart-large/rust_model.ot
-
curl -L -o rust_model.ot https://huggingface.co/facebook/bart-large/resolve/main/rust_model.ot
2.04 GB
- Xet hash:
- 6f8564aa1616c1108d13d82a3d9dc7fa2eed289f8aa038af0a2197470e03126a
- Size of remote file:
- 2.04 GB
- SHA256:
- 931cb440da07893989f9bd4a7f6cb7257b8eae104bcafeee69bb066c49ffb01c
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