Instructions to use tj91213/test_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tj91213/test_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "tj91213/test_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a84a4f6da20d9432b9596c6d5cdf6eaa23e9ed6d0d07bcf33f6f0de72d239a7
- Size of remote file:
- 33.6 MB
- SHA256:
- c9c1fba8b5809d0e6b65e727c8c336de532b319bfe0f36995679aee52864c36f
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