Instructions to use hf-internal-testing/tiny-bert-flax-safetensors-msgpack-sharded 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-safetensors-msgpack-sharded 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-safetensors-msgpack-sharded")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert-flax-safetensors-msgpack-sharded") model = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-flax-safetensors-msgpack-sharded") - Notebooks
- Google Colab
- Kaggle
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