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:
- a3e67b43ef8a27b0e50e4fbd19c1a25474831f1f7a8b6a4cbb26775c147f6256
- Size of remote file:
- 64.1 MB
- SHA256:
- 62ecacb639930e77f2f4f207f9ada45abd7eb94e975abc4fa8e0cf832a336260
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