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:
- c6e25db84b08d58dd709e424c111ad5bd27215727d3a5629515efb2dd8f5f7e0
- Size of remote file:
- 83.9 MB
- SHA256:
- ac784f461cda6ea68b6095cb7ff345ec23277387b84805cba24d61343c6cd8d3
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