Instructions to use gotzmann/1JV24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1JV24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "gotzmann/1JV24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ca47b1e75a10983f96ce80a1f97e170a36b118cfcbc5d7a7d8c8d8d2d7d0be5
- Size of remote file:
- 1.34 GB
- SHA256:
- 57172d0cd9bc5d9259ac7180e9508206623aacee188a7013f38153429a9448d9
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