Instructions to use tomdickson/riksbanken-mistral-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomdickson/riksbanken-mistral-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "tomdickson/riksbanken-mistral-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1b6fef8b3b54f6261c33239c6690cd675930758163d9310a4351b8457c3bacb
- Size of remote file:
- 6.23 kB
- SHA256:
- ea981d7e8efd54e61e3c94454058c0018f21e5eebf2730be3b7123e2fcf35f9d
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