Instructions to use Cem13/lora_model1_4881 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cem13/lora_model1_4881 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cem13/lora_model1_4881", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Cem13/lora_model1_4881: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Cem13/lora_model1_4881/resolve/main/tokenizer.json
- Command line
-
hf download hf://Cem13/lora_model1_4881/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Cem13/lora_model1_4881/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- f50a225d9f53b6d10de736023ad24fa9ce92634801004eb39d881f415a4784cb
- Size of remote file:
- 17.2 MB
- SHA256:
- 3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
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