Instructions to use sagar4tech/finance_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sagar4tech/finance_finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "sagar4tech/finance_finetuned") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sagar4tech/finance_finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/sagar4tech/finance_finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://sagar4tech/finance_finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sagar4tech/finance_finetuned/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 7f4d95760021482283dc12c68020c093de566f064959364428d0499dfaf5157b
- Size of remote file:
- 5.5 kB
- SHA256:
- 1af10d5881a93a706eca646f53b6ef78844ea06191f4ada22c7628b929e33dee
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