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, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("lukmanaj/hf-seamless-m4t-medium-en-tw-3-ep") model = AutoModelForSeq2SeqLM.from_pretrained("lukmanaj/hf-seamless-m4t-medium-en-tw-3-ep") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 699f484da5ee33bc26652d038280820c7d8c3aaca12ac78d55f7ac3141cf8f11
- Size of remote file:
- 17.3 MB
- SHA256:
- f78425cf90ead1727ae32918d37b6bca8ef9cc0c3c7360d8d7eb335fbdd6d6c2
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