Instructions to use aleegis09/9195fb1b-640b-467c-a256-0e82921df8ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/9195fb1b-640b-467c-a256-0e82921df8ad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.4") model = PeftModel.from_pretrained(base_model, "aleegis09/9195fb1b-640b-467c-a256-0e82921df8ad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd321887ed68d1b114bc8cc27ffd1148c9a3c2f46317fbcbf1483d2adb728d4a
- Size of remote file:
- 671 MB
- SHA256:
- 3755293a356d586c7b3717850c4a2c8225ee747e5ed84b98d4af670d5e4111cf
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