Instructions to use flax-community/bigband with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/bigband with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("flax-community/bigband") model = AutoModelForPreTraining.from_pretrained("flax-community/bigband") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 865c5bb1ab7feef5206326bba00b9da85b0d6394e84b447b0fdd97a24b223cf3
- Size of remote file:
- 846 kB
- SHA256:
- fdc81e1fc9d42e0c08b86d5b280d05d7c5e9747c4231c648f2b56b8e1d893c82
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