Instructions to use PowCal/Qwen2.5-Coder-7B-4bit-code-sft-gem-code-dpo-ipo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PowCal/Qwen2.5-Coder-7B-4bit-code-sft-gem-code-dpo-ipo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PowCal/Qwen2.5-Coder-7B-4bit-code-sft-gem-code-dpo-ipo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from PowCal/Qwen2.5-Coder-7B-4bit-code-sft-gem-code-dpo-ipo: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/PowCal/Qwen2.5-Coder-7B-4bit-code-sft-gem-code-dpo-ipo/resolve/main/tokenizer.json
- Command line
-
hf download hf://PowCal/Qwen2.5-Coder-7B-4bit-code-sft-gem-code-dpo-ipo/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/PowCal/Qwen2.5-Coder-7B-4bit-code-sft-gem-code-dpo-ipo/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d3f835122bddb470f53048ff36f1a5116791b8f3a003f9d17b3b03b0b81cc5fe
- Size of remote file:
- 11.4 MB
- SHA256:
- 3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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