Instructions to use hung20gg/neu_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung20gg/neu_text_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hung20gg/neu_text_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hung20gg/neu_text_classification") model = AutoModelForSequenceClassification.from_pretrained("hung20gg/neu_text_classification") - Notebooks
- Google Colab
- Kaggle
manually
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "/
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"architectures": [
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"RobertaForSequenceClassification"
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],
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{
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"_name_or_path": "vinai/phobert-base-v2",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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