Instructions to use thaffggg/a4c6e736-e9a9-45a7-8568-0843fbfe65d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/a4c6e736-e9a9-45a7-8568-0843fbfe65d2 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, "thaffggg/a4c6e736-e9a9-45a7-8568-0843fbfe65d2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 289ba7fd3b1b732d9edfc982363cff279bcddaa912c5ebc625ff0b4d60774829
- Size of remote file:
- 84 MB
- SHA256:
- 3d33ba6a5bbe108b17cf7412a69a0d83f50f220abb838fd20a6cba71756a63b2
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