Instructions to use AdoCleanCode/LAVCO-codec-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdoCleanCode/LAVCO-codec-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdoCleanCode/LAVCO-codec-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e14425f0e2b1d78adb31e7ec6f11ead02f181c07ec59db0d3bd8f04806b0a0ab
- Size of remote file:
- 2.74 GB
- SHA256:
- c60f0b0b00009592ede1d5602efb22a63a14b726b57183737dbbfc6c5e9699c4
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