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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5a4b1f3702206da98d34a01f9a00d24123c167d9d564ac4a2751a3981de554f
- Size of remote file:
- 5.38 MB
- SHA256:
- bd2c241e6adb9453f0a843977b61885c0d73ef63a79c6c8817c0faf115ef12f2
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