Instructions to use Anwaarma/IDK4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/IDK4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/IDK4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora/tokenizer.json from Anwaarma/IDK4: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Anwaarma/IDK4/resolve/main/lora/tokenizer.json
- Command line
-
hf download hf://Anwaarma/IDK4/lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Anwaarma/IDK4/resolve/main/lora/tokenizer.json
17.2 MB
- Xet hash:
- 3ef5af4a3b9a4b258ac51ad4cc7dfe47d0bb45dd8968f0b475abe3445eca1e43
- Size of remote file:
- 17.2 MB
- SHA256:
- c6eeb16665ec244ff3c2ef4dca42e4cfdcbc7162835201919175747a633511cb
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