Instructions to use JW17/Q25-3B-It-ICRM-8sample-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JW17/Q25-3B-It-ICRM-8sample-math with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JW17/Q25-3B-It-ICRM-8sample-math", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-150/training_args.bin from JW17/Q25-3B-It-ICRM-8sample-math: direct link, hf CLI and curl.
- Browser
- Download file 7.19 kB
-
https://huggingface.co/JW17/Q25-3B-It-ICRM-8sample-math/resolve/main/checkpoint-150/training_args.bin
- Command line
-
hf download hf://JW17/Q25-3B-It-ICRM-8sample-math/checkpoint-150/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JW17/Q25-3B-It-ICRM-8sample-math/resolve/main/checkpoint-150/training_args.bin
7.19 kB
- Xet hash:
- e494a77b32622004298ee4b7ec3424efe31cbb50d329b469f83c77fb740e21e0
- Size of remote file:
- 7.19 kB
- SHA256:
- 430d97a31331bdd0a6f3fc11a59e3059e538a16f64586546cad1520a49efbd16
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