Instructions to use Cem13/ranty_bez with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cem13/ranty_bez with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cem13/ranty_bez", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Cem13/ranty_bez: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Cem13/ranty_bez/resolve/main/tokenizer.json
- Command line
-
hf download hf://Cem13/ranty_bez/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Cem13/ranty_bez/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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