Instructions to use ashwincv0112/code-llama-34b-python-finetune2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashwincv0112/code-llama-34b-python-finetune2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-34b-Python-hf") model = PeftModel.from_pretrained(base_model, "ashwincv0112/code-llama-34b-python-finetune2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5285260e82063c0cd5458596d68af64c8d1dbe5ef2590cabb14f7f115cd2c2b
- Size of remote file:
- 39.4 MB
- SHA256:
- a9db937690f63cdb60d939bd66141e1d942e66c0a6640d67e136c3798e780203
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