Instructions to use hf-tiny-model-private/tiny-random-ErnieModel 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-ErnieModel 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-ErnieModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ErnieModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ErnieModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c738b615cfad052eade950615dae26e66051f835624d3a6d53d0ef0848f7faf3
- Size of remote file:
- 365 kB
- SHA256:
- 0f2abf88e31a33560cf1f525cb374b9600d8ea6e83a2a6bcd32c330872c33f12
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