Instructions to use phdatdt/mistral_ubi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phdatdt/mistral_ubi 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, "phdatdt/mistral_ubi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44a39e2459ed5ccbeb15a1c2233a8b403ed520b7623cb66dbacf5fb7972538f2
- Size of remote file:
- 4.92 kB
- SHA256:
- fa46c20a560bacdb45b25fab7a540e09af7a3772461ee1b40d73ae7e790bd9c9
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