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:
- 05526191ad0e4fa22e3d4fdb7160def3c04f6534de288d2795a40d105d3fb965
- Size of remote file:
- 17.8 MB
- SHA256:
- dab2c2bddcfb48ea430ef63fd76d46d67d704487844d967256a50dd7d7fd0a66
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