Instructions to use hf-internal-testing/tiny-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert") model = AutoModel.from_pretrained("hf-internal-testing/tiny-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 627c18f19ecd5833f3829cbd52326ac047360338185c4624e653a7447f6b76ab
- Size of remote file:
- 17.7 MB
- SHA256:
- df1c30487aa460040921d04d18e0c35ccb8185139f966b115776c01a37958d87
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