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:
- e0ee738f05119a98c942edcf4f403a923a42c233722de5d12fdb39114d812e95
- Size of remote file:
- 4.47 kB
- SHA256:
- 95c5391aa93867de765216d2788e33272ec3f13aaa88c41784bbc2d7cf22afca
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