Instructions to use Warkawik/code_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Warkawik/code_example with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "Warkawik/code_example") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Warkawik/code_example: direct link, hf CLI and curl.
- Browser
- Download file 22.2 MB
-
https://huggingface.co/Warkawik/code_example/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Warkawik/code_example/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Warkawik/code_example/resolve/main/adapter_model.safetensors
22.2 MB
- Xet hash:
- f9a6bff5fe455ba3f547cbd153564ecaca5b51619791c2ee60fe088abb801362
- Size of remote file:
- 22.2 MB
- SHA256:
- 98e589a6028275cd03687d097755ea26dc2afbcd47a34ff58242610b0b5112df
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