Instructions to use hf-internal-testing/tiny-bert-flax-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-flax-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-flax-only")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert-flax-only") model = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-flax-only") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95e252539faeef22e6f35cef4516dcea40a66c7c077b8aad5598e3a6d50fd7c3
- Size of remote file:
- 17.5 MB
- SHA256:
- d1f885a549870769ba8b61c96b051ed6a98b68573062f03fd806fcaa9712eeb4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.