Instructions to use tscholak/1zha5ono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tscholak/1zha5ono with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tscholak/1zha5ono") model = AutoModelForSeq2SeqLM.from_pretrained("tscholak/1zha5ono") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44d99f2586ab33bdf9dcc0dbe0fd6c9db05f58f0d7829910d1b5eaa1779b3c8e
- Size of remote file:
- 990 MB
- SHA256:
- f8cb07f29dd1371f36b049fb7da4cfa4e1b0ffec5ae2534b8f2a0b81846544f2
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