Instructions to use Anwaarma/IDK2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/IDK2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/IDK2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora/tokenizer.json from Anwaarma/IDK2: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Anwaarma/IDK2/resolve/main/lora/tokenizer.json
- Command line
-
hf download hf://Anwaarma/IDK2/lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Anwaarma/IDK2/resolve/main/lora/tokenizer.json
17.2 MB
- Xet hash:
- cdd6d1ea0b84f4748abee9f98e5ed5defb58eedb2a5f701bcc5edfdbfef0a0ae
- Size of remote file:
- 17.2 MB
- SHA256:
- 55587d4c42615879377eff0066e9fa004b2324d6b62971f54a82b4fb7f57b849
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