Instructions to use datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b 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, "datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2d85b5c1a166b37b3e3933bd8b74bc1b0408b499ef2390991f7444fe14dfa4d
- Size of remote file:
- 84 MB
- SHA256:
- efd9bb0bd67b2c7d7fdc0a6c3f6720b015e39a50e286886cfbc71153c18d8188
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