Instructions to use kthakar/mistral-finetuned-kedar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kthakar/mistral-finetuned-kedar with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "kthakar/mistral-finetuned-kedar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd64f4b8abec4bdd138ced066a874ec4e169d0c4048ce9dba8d596a72ea55ae5
- Size of remote file:
- 92.3 MB
- SHA256:
- d1d62da928453ef3f27973b6a5ae71ede52e5c35b350f42e9d12de32e19e8aeb
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