Instructions to use cardiffnlp/bertweet-base-stance-hillary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/bertweet-base-stance-hillary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/bertweet-base-stance-hillary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/bertweet-base-stance-hillary") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/bertweet-base-stance-hillary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09af7218a90aff8e117e4626cebb3e92278ce75a6bfad0f8f8e3e1f87246de9c
- Size of remote file:
- 540 MB
- SHA256:
- 755b7af0438f37e0af5742011c6e44d70c839ab01b6aae6f7c60d7715a08effb
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