Instructions to use nhung01/3517e4dd-4bd3-4377-999c-37fcf64405cf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung01/3517e4dd-4bd3-4377-999c-37fcf64405cf 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, "nhung01/3517e4dd-4bd3-4377-999c-37fcf64405cf") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhung01/3517e4dd-4bd3-4377-999c-37fcf64405cf: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nhung01/3517e4dd-4bd3-4377-999c-37fcf64405cf/resolve/main/training_args.bin
- Command line
-
hf download hf://nhung01/3517e4dd-4bd3-4377-999c-37fcf64405cf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nhung01/3517e4dd-4bd3-4377-999c-37fcf64405cf/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 292548832be7373b0de4d63fc31bc8fb338c328ec5c8bb6ae8bcc6ad34b2a1ef
- Size of remote file:
- 6.78 kB
- SHA256:
- f8d7fc5a98797a3b660bf05fb448efaf8152841f35ba0f1c52e804a64e73c75d
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