Instructions to use amer0/stack_exc_multilabel_base_class_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amer0/stack_exc_multilabel_base_class_head with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "amer0/stack_exc_multilabel_base_class_head") - Transformers
How to use amer0/stack_exc_multilabel_base_class_head with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amer0/stack_exc_multilabel_base_class_head", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amer0/stack_exc_multilabel_base_class_head: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/amer0/stack_exc_multilabel_base_class_head/resolve/main/training_args.bin
- Command line
-
hf download hf://amer0/stack_exc_multilabel_base_class_head/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amer0/stack_exc_multilabel_base_class_head/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 8ac87e29ae96dde2d0f4998ea24241eb34e41b1b64972c1cdf5dee1531ce3cbf
- Size of remote file:
- 5.91 kB
- SHA256:
- 420f706eee65b2d8f1cb91ba7651b1af3281bc161afdd445989cba83315cdc52
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