Instructions to use cjziems/IND_1_L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cjziems/IND_1_L with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "cjziems/IND_1_L") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6d174c5c862fc5ee9b2eabafd89f1475313ed18bc0260d09541cb4b60b0b53b
- Size of remote file:
- 5.24 kB
- SHA256:
- 8ec5bb0a6c4621bbcf1e4790325174a3fe31b7c394a52f41fb776229265e0122
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