Instructions to use hf-internal-testing/tiny-random-mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-mt5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-mt5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-mt5") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-mt5") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 66d377e
v3
Browse files- tokenizer.json +0 -0
tokenizer.json
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