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:
- 9db86173745deaf4d5e5298653331a216f6c87ac004b1fdc13e3949aaef3ee70
- Size of remote file:
- 32.1 MB
- SHA256:
- d68335bd840c2c1a2767d9272aded43027127c98ca034f1aafb182b80b56c476
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