Instructions to use hf-internal-testing/tiny-random-ErnieModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ErnieModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-ErnieModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ErnieModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ErnieModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaaf32ac195e3a5eab386c9b17d5a21ecdad6bec45bffc3f1ff3eb0dc012d388
- Size of remote file:
- 365 kB
- SHA256:
- ecaeb2b8fdce15291d0dfe381935c2292a76f7f4312dd80aebfc5b38ca5d8f61
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