Instructions to use kobesar/FinGPT-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kobesar/FinGPT-llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("base_models/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "kobesar/FinGPT-llama") - Notebooks
- Google Colab
- Kaggle
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Download README.md from kobesar/FinGPT-llama: direct link, hf CLI and curl.
- Browser
- Download file 121 Bytes
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https://huggingface.co/kobesar/FinGPT-llama/resolve/main/README.md
- Command line
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hf download hf://kobesar/FinGPT-llama/README.md
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curl -L -o README.md https://huggingface.co/kobesar/FinGPT-llama/resolve/main/README.md
121 Bytes
metadata
library_name: peft
pipeline_tag: text-classification
Training procedure
Framework versions
- PEFT 0.5.0