Text Generation
PEFT
Safetensors
English
finance
trading
ai-safety
adversarial-testing
critique
lora
qwen2
Instructions to use wmaousley/MiniCrit-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wmaousley/MiniCrit-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "wmaousley/MiniCrit-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6eff828702c915e0a2b419147c23d6cac16e12204d7af528fdb29ed40db40e3
- Size of remote file:
- 323 MB
- SHA256:
- e1c588779d384bd8fff9df072c71e619b2db9fdf7b4bf7d163f7309cd2491ad3
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