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:
- 30fdcff33341902ea6dde0a7ae86858a1a211685a1f2f7eb5cad03a577eea18f
- Size of remote file:
- 32.1 MB
- SHA256:
- 78e82ef96be644e7149511784e63659242f50c658a8829a4f849502495ba77b2
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