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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from AdoCleanCode/LAVCO-codec-v2: direct link, hf CLI and curl.
- Browser
- Download file 11.7 MB
-
https://huggingface.co/AdoCleanCode/LAVCO-codec-v2/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://AdoCleanCode/LAVCO-codec-v2/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/AdoCleanCode/LAVCO-codec-v2/resolve/main/tokenizer_config.json
11.7 MB
- Xet hash:
- bbd617679abdac7513a1d01ba0b6aa889d858b44217043f47d208dc10438034a
- Size of remote file:
- 11.7 MB
- SHA256:
- b1b128d721f35b2bf30a508f66e858e6f22a398c44569618909ef11e6cb470ee
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