Instructions to use AdoCleanCode/LAVCO-v6_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdoCleanCode/LAVCO-v6_v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdoCleanCode/LAVCO-v6_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a48113ee5b00cb1b71b8d81eb71d5585317d38d2767cacba3ee543bfc40a0eeb
- Size of remote file:
- 6.3 MB
- SHA256:
- c673f5b4c26f2f43ddf863ac96930102d4a9562ddc6bb943f39ce6b538d2370d
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