Instructions to use Acadys/PointCon-Mixtral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Acadys/PointCon-Mixtral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "Acadys/PointCon-Mixtral") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 919bc59d8c85cf1997dab9fc2db84578d54d11190056e4a2961fc453fdd51bf5
- Size of remote file:
- 4.73 kB
- SHA256:
- 9c0055033a2482543ae7542fd2afd6b7f111b7a231104f603892d60f0d9ceee1
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