Instructions to use anhuu/argument_classification_stance_bert_epoch50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhuu/argument_classification_stance_bert_epoch50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anhuu/argument_classification_stance_bert_epoch50")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anhuu/argument_classification_stance_bert_epoch50") model = AutoModelForSequenceClassification.from_pretrained("anhuu/argument_classification_stance_bert_epoch50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e1d993a7ef0c53f61525b72d1019f3236293d69946dbc13e5ad94927f4beed7
- Size of remote file:
- 438 MB
- SHA256:
- ae3a00c4d777253c97f478a0c014bf68d20d85a2cc7e7f97f703094b3d9fb283
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