Instructions to use MrezaPRZ/Qwen2.5-Coder-7B-Instruct-llm_ex_syn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/Qwen2.5-Coder-7B-Instruct-llm_ex_syn with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MrezaPRZ/Qwen2.5-Coder-7B-Instruct-llm_ex_syn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MrezaPRZ/Qwen2.5-Coder-7B-Instruct-llm_ex_syn: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/MrezaPRZ/Qwen2.5-Coder-7B-Instruct-llm_ex_syn/resolve/main/tokenizer.json
- Command line
-
hf download hf://MrezaPRZ/Qwen2.5-Coder-7B-Instruct-llm_ex_syn/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MrezaPRZ/Qwen2.5-Coder-7B-Instruct-llm_ex_syn/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 181232625d7e3c1ca253022b94db7459de4b9f8d97cb3770cff277fa3734547e
- Size of remote file:
- 11.4 MB
- SHA256:
- 63a2951d5edfa5cc0a2346ef872f8c77a2920274cfc3b503b04e3799104dee80
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