Instructions to use SSahas/codegen_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SSahas/codegen_python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-mono") model = PeftModel.from_pretrained(base_model, "SSahas/codegen_python") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from SSahas/codegen_python: direct link, hf CLI and curl.
- Browser
- Download file 5.25 MB
-
https://huggingface.co/SSahas/codegen_python/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://SSahas/codegen_python/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/SSahas/codegen_python/resolve/main/adapter_model.safetensors
5.25 MB
- Xet hash:
- d2dd6c22c994c9f56bcd9ee6d8ff65f805f251743fbf7bc058d46cccee59c600
- Size of remote file:
- 5.25 MB
- SHA256:
- d2e765cc5299983ba596238e718901181107f920d704ef789d9db010a618daf6
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