Instructions to use hf-internal-testing/tiny-random-MT5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MT5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MT5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MT5EncoderModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab6651631d82be7d3f5a1b021054c853aa61dc526ef42a546afda9497c586347
- Size of remote file:
- 64.1 MB
- SHA256:
- 6cecaafe6d622eb6929601e49c60b9f7e8770f7076e9200643713c81b7bded67
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