Instructions to use thangla01/53ec9464-dcf0-4795-ad9a-c2f0535c14c0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/53ec9464-dcf0-4795-ad9a-c2f0535c14c0 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, "thangla01/53ec9464-dcf0-4795-ad9a-c2f0535c14c0") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thangla01/53ec9464-dcf0-4795-ad9a-c2f0535c14c0: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/thangla01/53ec9464-dcf0-4795-ad9a-c2f0535c14c0/resolve/main/training_args.bin
- Command line
-
hf download hf://thangla01/53ec9464-dcf0-4795-ad9a-c2f0535c14c0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thangla01/53ec9464-dcf0-4795-ad9a-c2f0535c14c0/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- bae684d08ffda091b2008fc2d289d6afadb3129ab7d1abed56c384b199736468
- Size of remote file:
- 6.78 kB
- SHA256:
- 1d0d1766753b5f4b389940e7c4b16cd852f67e1f2d5a90fbf0fd781f97a72a4b
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