Instructions to use dada22231/1e28d0a3-fee0-4776-bae8-9806d5b0ca9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/1e28d0a3-fee0-4776-bae8-9806d5b0ca9b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("heegyu/WizardVicuna-open-llama-3b-v2") model = PeftModel.from_pretrained(base_model, "dada22231/1e28d0a3-fee0-4776-bae8-9806d5b0ca9b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 604f067447e36e31fef1f6fbd6dde6d9c1523ea82b30a7c80d0810899f0ea7ac
- Size of remote file:
- 203 MB
- SHA256:
- 51a09eef3835987bf84e808b9b3fe987a74a004dd3598a726b9d200d70603070
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