Instructions to use Tugay/clickbait_spoiling_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tugay/clickbait_spoiling_classification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tugay/clickbait_spoiling_classification") model = AutoModelForSeq2SeqLM.from_pretrained("Tugay/clickbait_spoiling_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Tugay/clickbait_spoiling_classification: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/Tugay/clickbait_spoiling_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://Tugay/clickbait_spoiling_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Tugay/clickbait_spoiling_classification/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- a4f50f7622698a9970bf444652385064007ce2c24ff46c1e724f7d0aa2f0da35
- Size of remote file:
- 3.57 kB
- SHA256:
- 40a21c49ed8493fb0415b2efb279756e5bb99044486927475ddb1c08e1328178
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