Instructions to use hf-internal-testing/explicit_transformers_config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/explicit_transformers_config with Transformers:
# Load model directly from transformers import AutoTokenizer, random tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/explicit_transformers_config") model = random.from_pretrained("hf-internal-testing/explicit_transformers_config") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a53038e16eebbd06544818f9639fcb57fe84f9c8b65e2ab0588a016d8a51201
- Size of remote file:
- 366 kB
- SHA256:
- 9fd3cd5ece6f45013a42ac09c9f910d6fe80c144756f06a353216adf4a366cae
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