Instructions to use Osiris/neutral_non_neutral_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Osiris/neutral_non_neutral_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Osiris/neutral_non_neutral_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Osiris/neutral_non_neutral_classifier") model = AutoModelForSequenceClassification.from_pretrained("Osiris/neutral_non_neutral_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +4 -0
config.json
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{
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"_name_or_path": "roberta-base",
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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": "roberta-base",
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"id2label": [
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"neutral",
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"non-neutral"
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],
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"architectures": [
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"RobertaForSequenceClassification"
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],
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