Instructions to use hf-internal-testing/tiny-random-GPTSanJapaneseForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTSanJapaneseForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-GPTSanJapaneseForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c01750d48bc64ec85f7f0c8e80e84b21aa5b53fc533bfe570f2f60377ab16b4
- Size of remote file:
- 5.38 MB
- SHA256:
- de3b9d6aefa98be792a86007f2857883f00f3908f6019ed7e0243caee77f8452
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