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:
- ecb5fe455a95131060f1834d450a1ea42d3ee4c6e21a56b809388bf0089b7a03
- Size of remote file:
- 64.1 MB
- SHA256:
- 71ab20c6d60f70966920de0baceb8e83cf4c4cdeb84fef06589e50c466e54f7e
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