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 optimizer.pt from Tugay/clickbait_spoiling_multi: direct link, hf CLI and curl.
- Browser
- Download file 5.9 GB
-
https://huggingface.co/Tugay/clickbait_spoiling_multi/resolve/main/optimizer.pt
- Command line
-
hf download hf://Tugay/clickbait_spoiling_multi/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Tugay/clickbait_spoiling_multi/resolve/main/optimizer.pt
5.9 GB
- Xet hash:
- cf901c663f11234969c08e6646a62c37ae0a105466534da1701cea1317a1aa62
- Size of remote file:
- 5.9 GB
- SHA256:
- 801c92a31ac99708733486566202ca3491ee39edf20cbd6d7e83a87a76949649
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