Instructions to use hnuka/DFK-Base-LoRA-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hnuka/DFK-Base-LoRA-V2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hnuka/DFK-Base-LoRA-V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from hnuka/DFK-Base-LoRA-V2: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/hnuka/DFK-Base-LoRA-V2/resolve/main/tokenizer.json
- Command line
-
hf download hf://hnuka/DFK-Base-LoRA-V2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hnuka/DFK-Base-LoRA-V2/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 20dad3b0c77f6ec701664ce17e21533fb731ab921fcfde2d43fdea4deae87967
- Size of remote file:
- 17.1 MB
- SHA256:
- 06dfd962d16c039a3b55b7a02f88040b252b0e8d68516a3324b24febcfff721a
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