Instructions to use hf-internal-testing/tiny-random-GPTNeoXJapaneseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTNeoXJapaneseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-GPTNeoXJapaneseModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPTNeoXJapaneseModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-GPTNeoXJapaneseModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8433b54ff38be86251f9797a4f8df80dc8ee937988bb23d37362e4bb59056a42
- Size of remote file:
- 4.35 MB
- SHA256:
- 98543f7c6f601ac5b835b4d7a1867424b735c3b5fda0313c145a869f5dd4c434
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