Instructions to use hf-internal-testing/tiny-bert-tf-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-bert-tf-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-bert-tf-only")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert-tf-only") model = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-tf-only") - Notebooks
- Google Colab
- Kaggle
remove Flax weights
Browse files- flax_model.msgpack +0 -3
flax_model.msgpack
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oid sha256:d1f885a549870769ba8b61c96b051ed6a98b68573062f03fd806fcaa9712eeb4
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size 17545101
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