Instructions to use omrisap/Qwen2.5-Math-PRM-1.5B_bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omrisap/Qwen2.5-Math-PRM-1.5B_bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="omrisap/Qwen2.5-Math-PRM-1.5B_bf16", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("omrisap/Qwen2.5-Math-PRM-1.5B_bf16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from omrisap/Qwen2.5-Math-PRM-1.5B_bf16: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/omrisap/Qwen2.5-Math-PRM-1.5B_bf16/resolve/main/tokenizer.json
- Command line
-
hf download hf://omrisap/Qwen2.5-Math-PRM-1.5B_bf16/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/omrisap/Qwen2.5-Math-PRM-1.5B_bf16/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- e62e5242f155c084fb2c0e7577e6e3a0be909c42e945a6e8a24ecab1afeb5962
- Size of remote file:
- 11.4 MB
- SHA256:
- 4245e3b6c550414f45096086adb562a0b0d5c074a09e47fd9704b8d7fdea2610
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