Instructions to use omidvaramin/HBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omidvaramin/HBART with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("omidvaramin/HBART") model = AutoModelForSeq2SeqLM.from_pretrained("omidvaramin/HBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e52add637d8d27e35c61a64e4941a061201813d1e18db9617a55eade55b5540
- Size of remote file:
- 3.25 GB
- SHA256:
- 3eb2903707b9b94f9de0e5ef0e3730cdb8f66e4fb68f217b4a35dd3090c63e61
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