Instructions to use codegood/Mistral_model_old_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/Mistral_model_old_data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("filipealmeida/Mistral-7B-Instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "codegood/Mistral_model_old_data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcc6d52262c069737f1cb006a22ed0c22d2e41f462b249d3883699d9823de93a
- Size of remote file:
- 336 MB
- SHA256:
- 8b4d5ca4d884fdfad390b51ddac14afececb80050ad2ae2572a7be81b88a8443
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