Instructions to use Samuael/amhat5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samuael/amhat5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Samuael/amhat5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Samuael/amhat5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 061693d0d829d66a051018334af89090cd4e42cbe438726d041c3518534b217f
- Size of remote file:
- 264 kB
- SHA256:
- 0d706e585c6889359ce1ab262698571cdc654d4278a3f2b3c6e693bee793f44b
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