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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-mt5") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-mt5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cc54ac15700745981c51d684b5e4ca0ce53db7a2176a3706467a78899bf2d16
- Size of remote file:
- 689 MB
- SHA256:
- 3c5b7434d0b5e2ea1766572e8c70f235239199c0581cc5339b0a9238e80cb97f
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