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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aa6b807f47a7c2bc83f2c4ec4e6f3c33c23a757b0ed2794e167761ef5a7aa9a
- Size of remote file:
- 64.1 MB
- SHA256:
- 5666ae2bbe3a4a518cf58604f5f544c7ba1dc2850c6030e7777dacfcb2242461
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