Instructions to use rio-codes/Mixtral_Rio_oasst2_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rio-codes/Mixtral_Rio_oasst2_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-v0.1") model = PeftModel.from_pretrained(base_model, "rio-codes/Mixtral_Rio_oasst2_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d8dc95f86a70f1e41431b3a365d54a0e70c8a71f30007028b440a2d1dcfa38b
- Size of remote file:
- 4.73 kB
- SHA256:
- bb712b46cd706ef12e2103391087687e6a36793b4fd7be569a5b05803b282f60
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