Instructions to use shivanikerai/Mistral-7B-v0.1-adapter-product-category-mapping-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shivanikerai/Mistral-7B-v0.1-adapter-product-category-mapping-v1 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, "shivanikerai/Mistral-7B-v0.1-adapter-product-category-mapping-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd68eea544867b9ae96dcde3d1123441deb5a8ea28b0a54babdb8ce895dbbecf
- Size of remote file:
- 168 MB
- SHA256:
- c65b022de3c06a6ae8e0904b82bc30af0035667edc7af4361f231fd113cedeac
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