Instructions to use CompassioninMachineLearning/InstructpretrainingQA_nonleading32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CompassioninMachineLearning/InstructpretrainingQA_nonleading32 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CompassioninMachineLearning/InstructpretrainingQA_nonleading32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
metadata
base_model: CompassioninMachineLearning/InstructpretrainingQA_nonleading32
tags:
- text-generation-inference
- transformers
- unsloth
- llama
license: apache-2.0
language:
- en
Uploaded finetuned model
- Developed by: CompassioninMachineLearning
- License: apache-2.0
- Finetuned from model : CompassioninMachineLearning/InstructpretrainingQA_nonleading32
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
