Instructions to use SathishKumar89/my-python-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SathishKumar89/my-python-coder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "SathishKumar89/my-python-coder") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from SathishKumar89/my-python-coder: direct link, hf CLI and curl.
- Browser
- Download file 73.9 MB
-
https://huggingface.co/SathishKumar89/my-python-coder/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://SathishKumar89/my-python-coder/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/SathishKumar89/my-python-coder/resolve/main/adapter_model.safetensors
73.9 MB
- Xet hash:
- 2c4a65322739f6fc67a28ab953b6bba180be14c7906586adee939e0903282365
- Size of remote file:
- 73.9 MB
- SHA256:
- 257956ea3d2508b475980bb016d00ceefa0de11a2e58911c3b2e85143c7a98a6
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