Instructions to use rreit/Wizardcoder13B-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/Wizardcoder13B-StaproCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WizardLM/WizardCoder-15B-V1.0") model = PeftModel.from_pretrained(base_model, "rreit/Wizardcoder13B-StaproCoder") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from rreit/Wizardcoder13B-StaproCoder: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/rreit/Wizardcoder13B-StaproCoder/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://rreit/Wizardcoder13B-StaproCoder/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/rreit/Wizardcoder13B-StaproCoder/resolve/main/adapter_model.safetensors
442 MB
- Xet hash:
- 183c773e1defbac6f2a011e623510e194fcd90b61be809a8d9f7359ed82991af
- Size of remote file:
- 442 MB
- SHA256:
- a8b65265e9c409779f8a23c0c9af748dbde5c0c872f9e1eadc12132b237076f0
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