Instructions to use ThivyanRR/english_seamlessm4t_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThivyanRR/english_seamlessm4t_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ThivyanRR/english_seamlessm4t_medium")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ThivyanRR/english_seamlessm4t_medium") model = AutoModel.from_pretrained("ThivyanRR/english_seamlessm4t_medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11f7305fba195b16985f17443a7939dbb4e04ca94b6d5064e34a4794d3167d17
- Size of remote file:
- 4.84 GB
- SHA256:
- acc11dbd8127b83b840965c86c56137dd523fd5da88f8a73f39603849e72016e
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