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:
- a819169f27f73fec1c245288a89d2072adaff94824f5863cf3b427c0e4e7592e
- Size of remote file:
- 17.5 MB
- SHA256:
- a5e5c26a61c79c819c6b61d7dc112b83ffa20109b35544fc74befca3eba51ea8
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