Instructions to use Komala/hp_finetuned-Mistral-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Komala/hp_finetuned-Mistral-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "Komala/hp_finetuned-Mistral-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4637397b4bdba7fa98dba1e591b57df521a12e2def7c48748cfd2c10ab7644b
- Size of remote file:
- 92.3 MB
- SHA256:
- 323439588e8067635f2c35a8b86e27c1bdbfb1e3c254389eaa999af92642a474
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