Instructions to use Faradaylab/ARIA-7B-V3-mistral-french-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Faradaylab/ARIA-7B-V3-mistral-french-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "Faradaylab/ARIA-7B-V3-mistral-french-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 307758260a1defbedfe1771ff7b98c11c0bab9a3cd37849051a9ea746fc99d95
- Size of remote file:
- 5 GB
- SHA256:
- 55f0109755dae88fad9503cbb371e8db928ebca7172f0130961072e0fcb73198
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