Instructions to use hf-tiny-model-private/tiny-random-GPTSanJapaneseForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-GPTSanJapaneseForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-GPTSanJapaneseForConditionalGeneration", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 607400e9cca467a8f18ef31e5100490cfbcf26e44db13b35793a628e6e919a87
- Size of remote file:
- 5.36 MB
- SHA256:
- 476bc79764cfa676f3f10dfb372708adbbc4ce4f7024bb5029503a61e3acd357
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