Instructions to use afroz14/demomodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afroz14/demomodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afroz14/demomodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afroz14/demomodel") model = AutoModelForSequenceClassification.from_pretrained("afroz14/demomodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
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": "roberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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