Instructions to use error577/05d59197-7c98-4818-9e6e-c77b6e385888 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/05d59197-7c98-4818-9e6e-c77b6e385888 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, "error577/05d59197-7c98-4818-9e6e-c77b6e385888") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 491fbde963824372008f8e838a5a06645f6828dd6159f39a8c3d3b7f593d3ae3
- Size of remote file:
- 84 MB
- SHA256:
- 9a5d6fcc6251bb395286c62f3b8dbd714fd576957dd4f608e9b6c22509639a52
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