Instructions to use mtzig/v2b_mistral_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mtzig/v2b_mistral_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peiyi9979/math-shepherd-mistral-7b-prm") model = PeftModel.from_pretrained(base_model, "mtzig/v2b_mistral_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 163135b1f71059119506ba5364ed8b0951db4e2fc1b56b0093855b09ed544d4e
- Size of remote file:
- 5.24 kB
- SHA256:
- fe5dd07a845306a1842d7385982bd9e688666fe57550365ef3d04101f1ce3a80
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