Instructions to use hf-tiny-model-private/tiny-random-GPTNeoXJapaneseModel 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-GPTNeoXJapaneseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-GPTNeoXJapaneseModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-GPTNeoXJapaneseModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-GPTNeoXJapaneseModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 795f8b6ffe0c3cebbf065d18b2b30b47b1140a1b8929c89b23c1437708335e0d
- Size of remote file:
- 4.36 MB
- SHA256:
- a55ac9e5c15409f45e68982f33e72449172f332cddfeef63b99fdf630606d932
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