Instructions to use hf-internal-testing/tiny-bert-msgpack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-bert-msgpack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-bert-msgpack")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert-msgpack") model = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-msgpack") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef3d095035deb4ba73a1bb991cbe786ef76232b521c44d906a50c52558080308
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size 354421
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