Instructions to use ikuldeep1/Qwen2.5-Coder-1.5B-FullBase980V2-SQL-PEFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ikuldeep1/Qwen2.5-Coder-1.5B-FullBase980V2-SQL-PEFT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ikuldeep1/Qwen2.5-Coder-1.5B-FullBase980V2-SQL-PEFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ikuldeep1/Qwen2.5-Coder-1.5B-FullBase980V2-SQL-PEFT: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ikuldeep1/Qwen2.5-Coder-1.5B-FullBase980V2-SQL-PEFT/resolve/main/tokenizer.json
- Command line
-
hf download hf://ikuldeep1/Qwen2.5-Coder-1.5B-FullBase980V2-SQL-PEFT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ikuldeep1/Qwen2.5-Coder-1.5B-FullBase980V2-SQL-PEFT/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- a83acaaa03643aaf371b5155b0fc2e6734bc39e3d885971aa410882fa42a7472
- Size of remote file:
- 11.4 MB
- SHA256:
- e97f5e2029f00cca517cf334d922b687ee208aff5d34ad171a224e65e83d042e
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