Instructions to use arver/code_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arver/code_gen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/wizardLM-7B-HF") model = PeftModel.from_pretrained(base_model, "arver/code_gen") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from arver/code_gen: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/arver/code_gen/resolve/main/adapter_model.bin
- Command line
-
hf download hf://arver/code_gen/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/arver/code_gen/resolve/main/adapter_model.bin
320 MB
- Xet hash:
- d3ee655298af743909ab8cf58860ee1854912588722da28acef372b710acdfc2
- Size of remote file:
- 320 MB
- SHA256:
- d2c450045e39a3d553045fd28a21e058e5d04bf940594d3a49109481220d03bd
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