Instructions to use Tugay/clickbait_spoiling_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tugay/clickbait_spoiling_multi with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tugay/clickbait_spoiling_multi") model = AutoModelForSeq2SeqLM.from_pretrained("Tugay/clickbait_spoiling_multi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Tugay/clickbait_spoiling_multi: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/Tugay/clickbait_spoiling_multi/resolve/main/training_args.bin
- Command line
-
hf download hf://Tugay/clickbait_spoiling_multi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Tugay/clickbait_spoiling_multi/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 1f57537fc13a406fa1f9073603b34b3877baaf51110c4107d8cd733af5848411
- Size of remote file:
- 3.57 kB
- SHA256:
- 1abcb7e351fe09378b771f0f9510eec1814d07ad6855e4b0e3a4c7317d1b7b2a
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