Instructions to use AhmedSSoliman/FalconCodeGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AhmedSSoliman/FalconCodeGen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mrm8488/falcoder-7b") model = PeftModel.from_pretrained(base_model, "AhmedSSoliman/FalconCodeGen") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from AhmedSSoliman/FalconCodeGen: direct link, hf CLI and curl.
- Browser
- Download file 9.46 MB
-
https://huggingface.co/AhmedSSoliman/FalconCodeGen/resolve/refs%2Fpr%2F2/adapter_model.bin
- Command line
-
hf download hf://AhmedSSoliman/FalconCodeGen@refs/pr/2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/AhmedSSoliman/FalconCodeGen/resolve/refs%2Fpr%2F2/adapter_model.bin
9.46 MB
- Xet hash:
- b56f5485b11ca92e40e359a3006be1eced1d5753952ec6ad5b15d22b9f4ac66e
- Size of remote file:
- 9.46 MB
- SHA256:
- 329b58b4d21f5d785f59650414eb18815ab3b440c29db2dfdd8340fd8627b5a6
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