Instructions to use FinGPT/fingpt-forecaster_dow30_llama2-7b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FinGPT/fingpt-forecaster_dow30_llama2-7b_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("base_models/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "FinGPT/fingpt-forecaster_dow30_llama2-7b_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 600394c6047d782f67e50276cd3c760a66edf2909b81e174c587d1292c638ba5
- Size of remote file:
- 40.1 MB
- SHA256:
- fe6a40649b26cb1ab38114a949f64a100632e4ec33b8d9b7c6a08ec5966a3f2a
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