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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0f4be7492d69e5252fec6d2817f0ddaba3f5dfd1660f2589a33aca97846bb55
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size 437962832
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