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 tokenizer.json from sano90/qwen4-pointing: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/sano90/qwen4-pointing/resolve/main/tokenizer.json
- Command line
-
hf download hf://sano90/qwen4-pointing/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sano90/qwen4-pointing/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 1a71d4624e89520542c1aaa3b729e93f3455104d175135e3707cc04f3c460883
- Size of remote file:
- 11.4 MB
- SHA256:
- 8579e1ca7cc5d82a9e0202eed555529996f4ffe7f563c2979a0290cf3db452d3
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