Instructions to use HatimF/bartL_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HatimF/bartL_3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HatimF/bartL_3") model = AutoModelForSeq2SeqLM.from_pretrained("HatimF/bartL_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff8770c66e08e8032b42db5680bf99444776da13cd39094f7dff26419a473f37
- Size of remote file:
- 1.63 GB
- SHA256:
- 183a630c98f03ff68430302e199fbb2aebcf63256a111407b40096a5f087cbd3
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