Instructions to use emirkaanozdemr/cukurova-9b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emirkaanozdemr/cukurova-9b-instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emirkaanozdemr/cukurova-9b-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from emirkaanozdemr/cukurova-9b-instruct: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/emirkaanozdemr/cukurova-9b-instruct/resolve/main/tokenizer.json
- Command line
-
hf download hf://emirkaanozdemr/cukurova-9b-instruct/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/emirkaanozdemr/cukurova-9b-instruct/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 52b04b0c77e563ea5c71b3a96993dd33cc82e6a43f1309142c78f948c7283c46
- Size of remote file:
- 34.4 MB
- SHA256:
- 394ace002a144ac6ad5486387502f2d36f70c087310c3d907857240c76fcb36e
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