Instructions to use Tugay/clickbait_spoiling_passage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tugay/clickbait_spoiling_passage with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tugay/clickbait_spoiling_passage") model = AutoModelForSeq2SeqLM.from_pretrained("Tugay/clickbait_spoiling_passage", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Tugay/clickbait_spoiling_passage: direct link, hf CLI and curl.
- Browser
- Download file 6.27 GB
-
https://huggingface.co/Tugay/clickbait_spoiling_passage/resolve/main/optimizer.pt
- Command line
-
hf download hf://Tugay/clickbait_spoiling_passage/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Tugay/clickbait_spoiling_passage/resolve/main/optimizer.pt
6.27 GB
- Xet hash:
- 4180bf79827f814bf098a1a2c3efb02fb3deb72e3410e62784cd72ca6a7b3f34
- Size of remote file:
- 6.27 GB
- SHA256:
- 07bc76ba38ff3ce861ba04dbae96aa5029100ad479951315ef930984c4ab7caf
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