Instructions to use arrow-hf/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arrow-hf/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="arrow-hf/bart-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("arrow-hf/bart-large") model = AutoModel.from_pretrained("arrow-hf/bart-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33f710176069c08619f71d3e723fffdb8ad5c1fe9b2e077dbfa4e7c085faf898
- Size of remote file:
- 1.02 GB
- SHA256:
- 5e92f2a20e7735792c048457f6dd9c2ae03d4159738746bf6aab42389df99205
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