Instructions to use vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Capybara-7B-V1") model = PeftModel.from_pretrained(base_model, "vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/resolve/58e71f549e8e27b7bda0d0ef1dd302c4adb6ef5f/training_args.bin
- Command line
-
hf download hf://vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110@58e71f549e8e27b7bda0d0ef1dd302c4adb6ef5f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/resolve/58e71f549e8e27b7bda0d0ef1dd302c4adb6ef5f/training_args.bin
6.84 kB
- Xet hash:
- 9f3aefd13c0d120e8a8558ae08f9efc7c749404f737d9177f61341e8d3353fad
- Size of remote file:
- 6.84 kB
- SHA256:
- 812bf7c6b902d6bbad08789adee7d05bdd734e0055d83225ae1cbf32abeca360
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.