Instructions to use Angelectronic/llama3-QA-ViMMRC-Squad-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Angelectronic/llama3-QA-ViMMRC-Squad-v1.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Angelectronic/llama3-QA-ViMMRC-Squad-v1.1") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 9de71b806b695d86f81b876853fd88582159bd45977bab452e56fbc22339bfb6
- Size of remote file:
- 168 MB
- SHA256:
- 99e62e0c7554ab2ee11c0c3a5847390449333cebbf86ffe2344087bcf4bbbe2f
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