Instructions to use igzi/lora-squad_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-squad_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "igzi/lora-squad_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58aaadc205e19926033ad9d2532795c929af62dddf2c5394244b0aa1b0605dfa
- Size of remote file:
- 20.7 MB
- SHA256:
- f73f3fae2a2c87196168d14abd1d6d0abacd7c5b6a45e01682b34e35a9e8c9a4
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