Instructions to use sano90/qwen4-pointing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sano90/qwen4-pointing with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sano90/qwen4-pointing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sano90/qwen4-pointing: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/sano90/qwen4-pointing/resolve/main/training_args.bin
- Command line
-
hf download hf://sano90/qwen4-pointing/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sano90/qwen4-pointing/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- d109d17c870f5a98f18b199478b9ed07c318cc04d7d4fa446a9468bcbe5cbc9b
- Size of remote file:
- 5.71 kB
- SHA256:
- a4dddce146c7cdf6484c39194fff9904b6bb35d8a3144e67d22f6f9c4cc4d0ba
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