Instructions to use Skskskd/bliz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skskskd/bliz with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Skskskd/bliz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Skskskd/bliz: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Skskskd/bliz/resolve/main/tokenizer.json
- Command line
-
hf download hf://Skskskd/bliz/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Skskskd/bliz/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 7a5b95162b7e9d02537ad3b506c88ee09dae7c886c1f70c8b6afbbf7ce2c456a
- Size of remote file:
- 11.4 MB
- SHA256:
- 48f722bc04c884e2fe1525fdcd85a1293a8499b6e620c1ac7c083c49632305fb
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