Instructions to use deveg/toolcalling-lora-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deveg/toolcalling-lora-demo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deveg/toolcalling-lora-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from deveg/toolcalling-lora-demo: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/deveg/toolcalling-lora-demo/resolve/main/tokenizer.json
- Command line
-
hf download hf://deveg/toolcalling-lora-demo/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/deveg/toolcalling-lora-demo/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- b7f6cead6514c5ec62108fbfef5f01cbeff334fcebca22fab11896bb0a78cccd
- Size of remote file:
- 11.4 MB
- SHA256:
- 2bd291161cf89a27e2359ec511653cb9f3c611c0cbb886aa344d759be3e5ec28
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