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:
- b900569b39408f8594f9af04e7ff61968259cc7656de5ff58e0c9a68d059e229
- Size of remote file:
- 64.1 MB
- SHA256:
- 4b040b7b99740e8b85e1257e6beb6dd437acb030412f6df067dd1fb10efb95b9
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