Instructions to use sujithatz/v2finbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sujithatz/v2finbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "sujithatz/v2finbot") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-68/optimizer.pt from sujithatz/v2finbot: direct link, hf CLI and curl.
- Browser
- Download file 71.4 MB
-
https://huggingface.co/sujithatz/v2finbot/resolve/main/checkpoint-68/optimizer.pt
- Command line
-
hf download hf://sujithatz/v2finbot/checkpoint-68/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sujithatz/v2finbot/resolve/main/checkpoint-68/optimizer.pt
71.4 MB
- Xet hash:
- 03b76fbeb994becd18c45c4009869818abb936a94ca16b4788587d418109ed0e
- Size of remote file:
- 71.4 MB
- SHA256:
- 09bee66d6367cb0b727f4122fdaf847b36bf5f5ed716c65057a30a2e45b9bdc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.