Instructions to use nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-350m") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/resolve/main/training_args.bin
- Command line
-
hf download hf://nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- ce9e51455c68ea8cb3846adcf1625a5e099fce589832c2d57680229020cda18e
- Size of remote file:
- 6.78 kB
- SHA256:
- 91345d88c5c481881ed60bbf8e2abf9aca3f1842ebf023e505b6b6184b711461
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