Instructions to use cahya/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cahya/bart-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("cahya/bart-large") model = AutoModel.from_pretrained("cahya/bart-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add events*
Browse files
events.out.tfevents.1673394476.t1v-n-4fefba0c-w-0.831971.0.v2
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size 57798127
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events.out.tfevents.1673692214.t1v-n-4fefba0c-w-0.10626.0.v2
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size 290169667
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