Instructions to use cardiffnlp/bertweet-base-stance-atheism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/bertweet-base-stance-atheism with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/bertweet-base-stance-atheism")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/bertweet-base-stance-atheism") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/bertweet-base-stance-atheism", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cardiffnlp/bertweet-base-stance-atheism: direct link, hf CLI and curl.
- Browser
- Download file 540 MB
-
https://huggingface.co/cardiffnlp/bertweet-base-stance-atheism/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cardiffnlp/bertweet-base-stance-atheism/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cardiffnlp/bertweet-base-stance-atheism/resolve/main/pytorch_model.bin
540 MB
- Xet hash:
- 41708621bdc1c2287e29a75c33335dcf0f525b8ae8bc1bfd61e989a035a21211
- Size of remote file:
- 540 MB
- SHA256:
- 180d96b04d839e51e7d61fe6604646ef4fa7a595e2916b6e8effe53a62ea51cb
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