Instructions to use vdpappu/lora_stock_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdpappu/lora_stock_analysis with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "vdpappu/lora_stock_analysis") - Notebooks
- Google Colab
- Kaggle
Upload optimizer.pt with huggingface_hub
Browse files- optimizer.pt +3 -0
optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6fb98db9075184140ca5763dbedcedd57debb30ae5960b6b1ae58775e79404a3
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size 7433594
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