Instructions to use klcsp/mistral7b-lora-coding-11-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use klcsp/mistral7b-lora-coding-11-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.3") model = PeftModel.from_pretrained(base_model, "klcsp/mistral7b-lora-coding-11-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4362e19f9102b8d6c4f2f6447aa26cb9dd289cae95fcbd2d09e53d7a5b831b5b
- Size of remote file:
- 5.62 kB
- SHA256:
- d2364318d2aca8d4c16f29f3ca39cbd87da68ea94773afe04cf764bdbbf0b644
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