Instructions to use daresearch/sp500-exec-classifier-llama3.3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daresearch/sp500-exec-classifier-llama3.3-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("daresearch/sp500-exec-classifier-llama3.3-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: daresearch
- License: apache-2.0
- Finetuned from model : unsloth/Llama-3.3-70B-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth
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Model tree for daresearch/sp500-exec-classifier-llama3.3-lora
Base model
meta-llama/Llama-3.1-70B Finetuned
meta-llama/Llama-3.3-70B-Instruct Quantized
unsloth/Llama-3.3-70B-Instruct-bnb-4bit