Instructions to use Angelectronic/mistral-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/mistral-QA-ViMMRC-Squad-v1.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.2-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Angelectronic/mistral-QA-ViMMRC-Squad-v1.1") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- dad02120bacb0167b6e4c1b37a9a9820b1ef1cf12024cfacd3b6832cea1ab0c5
- Size of remote file:
- 5.05 kB
- SHA256:
- 17b7a57a941bac2e1b64f8e760553ddf1f3931d1e28f5f0b406d28597b84772b
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