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.json from AdoCleanCode/LAVCO-codec-v2: direct link, hf CLI and curl.
- Browser
- Download file 29.5 MB
-
https://huggingface.co/AdoCleanCode/LAVCO-codec-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://AdoCleanCode/LAVCO-codec-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AdoCleanCode/LAVCO-codec-v2/resolve/main/tokenizer.json
29.5 MB
- Xet hash:
- f719296dce88f2d7b90952b9a10034878ed812be27b5aa3a43c79256ca02bead
- Size of remote file:
- 29.5 MB
- SHA256:
- 71d92f3dbf3c23d734e6356241cef149b42fe79848176a54145b6f9a886fd73b
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