Instructions to use minhtrannnn/6159e89e-0a22-4d06-a56b-3ba03efddee1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhtrannnn/6159e89e-0a22-4d06-a56b-3ba03efddee1 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, "minhtrannnn/6159e89e-0a22-4d06-a56b-3ba03efddee1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 290edf5438f503893799994c11a602e6ccf294496470763d778c19270968dc7a
- Size of remote file:
- 84 MB
- SHA256:
- f93199476a058dce2f418489098bfdb6b5bcdfd163ebdda7cb21d80406ceaadf
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