Instructions to use deepanshu30699/wizard-python-financial_6_gptq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deepanshu30699/wizard-python-financial_6_gptq with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/WizardCoder-Python-13B-V1.0-GPTQ") model = PeftModel.from_pretrained(base_model, "deepanshu30699/wizard-python-financial_6_gptq") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00003-of-00003.bin from deepanshu30699/wizard-python-financial_6_gptq: direct link, hf CLI and curl.
- Browser
- Download file 7.18 GB
-
https://huggingface.co/deepanshu30699/wizard-python-financial_6_gptq/resolve/main/pytorch_model-00003-of-00003.bin
- Command line
-
hf download hf://deepanshu30699/wizard-python-financial_6_gptq/pytorch_model-00003-of-00003.bin
-
curl -L -o pytorch_model-00003-of-00003.bin https://huggingface.co/deepanshu30699/wizard-python-financial_6_gptq/resolve/main/pytorch_model-00003-of-00003.bin
7.18 GB
- Xet hash:
- 537a8ab5d8e6c8300be661bdfe2ce31285caf5dccc93df11f5cca344cd354aef
- Size of remote file:
- 7.18 GB
- SHA256:
- 53c293e22452642eeb6614ca555b5acd41c8b79e83d0fef53f8dc5ce7c60c9b4
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