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:
# pip install -U transformers accelerate # 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
Download model.safetensors from hf-tiny-model-private/tiny-random-GPTSanJapaneseForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 5.36 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-GPTSanJapaneseForConditionalGeneration/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-GPTSanJapaneseForConditionalGeneration@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-GPTSanJapaneseForConditionalGeneration/resolve/refs%2Fpr%2F1/model.safetensors
5.36 MB
- Xet hash:
- 607400e9cca467a8f18ef31e5100490cfbcf26e44db13b35793a628e6e919a87
- Size of remote file:
- 5.36 MB
- SHA256:
- 476bc79764cfa676f3f10dfb372708adbbc4ce4f7024bb5029503a61e3acd357
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