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 optimizer.pt from Tugay/clickbait_spoiling_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.9 GB
-
https://huggingface.co/Tugay/clickbait_spoiling_classification/resolve/main/optimizer.pt
- Command line
-
hf download hf://Tugay/clickbait_spoiling_classification/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Tugay/clickbait_spoiling_classification/resolve/main/optimizer.pt
5.9 GB
- Xet hash:
- c4e892850d5be8daaa8189f1c8384e1382e31bc92474f111c072e9d62d7cbd5f
- Size of remote file:
- 5.9 GB
- SHA256:
- f5ec61e8182d5189ec497168a245a93db2f4de994c22fb19000aca1f3784e167
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