Instructions to use ErrorAI/697c2b5f-232f-4ca0-9b80-e38f7bc3696a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/697c2b5f-232f-4ca0-9b80-e38f7bc3696a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("numind/NuExtract-v1.5") model = PeftModel.from_pretrained(base_model, "ErrorAI/697c2b5f-232f-4ca0-9b80-e38f7bc3696a") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ErrorAI/697c2b5f-232f-4ca0-9b80-e38f7bc3696a: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/ErrorAI/697c2b5f-232f-4ca0-9b80-e38f7bc3696a/resolve/main/training_args.bin
- Command line
-
hf download hf://ErrorAI/697c2b5f-232f-4ca0-9b80-e38f7bc3696a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ErrorAI/697c2b5f-232f-4ca0-9b80-e38f7bc3696a/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 9fa63a025ea5d73348fe6ee9c82a14b796e2aa98e86ef2bca3435d0f67f1b75f
- Size of remote file:
- 6.78 kB
- SHA256:
- d61ba9e971b5986e03b89ca595eb375f0a6d8339a0580a27080c5fe009f94be9
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