Instructions to use lukmanaj/hf-seamless-m4t-medium-en-tw-3-ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukmanaj/hf-seamless-m4t-medium-en-tw-3-ep with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lukmanaj/hf-seamless-m4t-medium-en-tw-3-ep") model = AutoModelForMultimodalLM.from_pretrained("lukmanaj/hf-seamless-m4t-medium-en-tw-3-ep") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a49bb827da480c22c5bfab7f453b923b8e7f4624f3d1f1672e130e59f6016aa
- Size of remote file:
- 4.85 MB
- SHA256:
- 14bb8dfb35c0ffdea7bc01e56cea38b9e3d5efcdcb9c251d6b40538e1aab555a
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