Instructions to use kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-13b-v8.1-fp16") model = PeftModel.from_pretrained(base_model, "kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95/resolve/main/training_args.bin
- Command line
-
hf download hf://kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 69a7cb48f1615f3487d100ca0b2074d68c5fb05aeb8fc96513d5dc507f4b741f
- Size of remote file:
- 6.78 kB
- SHA256:
- 7cb7d523cdfae87d2304b7dbb73a3ef072993ca5ee55dccc36396a2adc582a16
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.