Instructions to use nk0709/tiny-agent-upi-function-calling-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nk0709/tiny-agent-upi-function-calling-v0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nk0709/tiny-agent-upi-function-calling-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from nk0709/tiny-agent-upi-function-calling-v0: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/nk0709/tiny-agent-upi-function-calling-v0/resolve/main/training_args.bin
- Command line
-
hf download hf://nk0709/tiny-agent-upi-function-calling-v0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nk0709/tiny-agent-upi-function-calling-v0/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 0a4c1e4233eb539b3a7ac0da941c11a20d69f7307e16e0442efcf78ce1d16e4a
- Size of remote file:
- 5.69 kB
- SHA256:
- a3a10bcced9bcc67e8059a2f0482e1e427034cf70daa92a4bca32d357152631f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.