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 pytorch_model.bin from Tugay/clickbait_spoiling_multi: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/Tugay/clickbait_spoiling_multi/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Tugay/clickbait_spoiling_multi/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Tugay/clickbait_spoiling_multi/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- e6aeb0f7e33fd18d4550bda85017a533efb23e979de2cec3729176ff2ec5b559
- Size of remote file:
- 2.95 GB
- SHA256:
- 3d09ed97f0f6994f202788dc60a6a00b885e67f03c7acd9db0665087c2c6a799
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