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:
- 464462aef7469c7f3811d23aac760b8519a65e3c49881a6bfd03c6aa45c6b057
- Size of remote file:
- 383 kB
- SHA256:
- db33521e60d0992bd229e1dd60cc68f4195262cf632ffb064883722ab48d94f9
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