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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 709eae801e6be37397c00dc419045783bb6bb3a9aeaea8e07031b1994c6279b2
- Size of remote file:
- 383 kB
- SHA256:
- 4baa8af0c42c622eea657b8808977cd81b4c6fac0f892ab4a46baf30adc01ad4
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