Instructions to use ryfkn/KomdigiITS-3B-PAD-SFT-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ryfkn/KomdigiITS-3B-PAD-SFT-Adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ryfkn/KomdigiITS-3B-PAD-SFT-Adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from ryfkn/KomdigiITS-3B-PAD-SFT-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/ryfkn/KomdigiITS-3B-PAD-SFT-Adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://ryfkn/KomdigiITS-3B-PAD-SFT-Adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ryfkn/KomdigiITS-3B-PAD-SFT-Adapter/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 187c8f6cc6fd217e11ecc3dfbc82048b314c6d4608b6b6eb42769e12728cd987
- Size of remote file:
- 17.1 MB
- SHA256:
- 577575622324b2e099e2648be26bdeb5e5815ffe66d7004e9e3ddbf421db6bf1
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