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")# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.fc9d7eb
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add tf version
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add events*
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epoch 4.2
Step... (1950000 | Loss: 0.8994035720825195, Acc: 0.8213219046592712)3ff7738
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epoch 3.7
Step... (1730000 | Loss: 0.9095193147659302, Acc: 0.8198831677436829):061c1a1
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epochs 3.0
Step... (1390000 | Loss: 0.932823896408081, Acc: 0.8167814612388611):8482568
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add epoch 1.77
Step... (1270000 | Loss: 0.9434151649475098, Acc: 0.8153756856918335):d369120
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update model 1.epoch
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add model
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initial commit
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