Instructions to use fuyingw/MELP_Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fuyingw/MELP_Encoder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fuyingw/MELP_Encoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e3f461b4161929a21730e5864ec2148c21a14c9fa2d155a2272d6b86925503e
- Size of remote file:
- 131 MB
- SHA256:
- ebd02d76e12c9740c32d596f3341fc04f4b6277d2bb7483302b47533dd00f10f
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