Instructions to use hfunakura/bert-feedback-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfunakura/bert-feedback-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hfunakura/bert-feedback-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hfunakura/bert-feedback-classifier") model = AutoModelForSequenceClassification.from_pretrained("hfunakura/bert-feedback-classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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from transformers import pipeline
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForSequenceClassification.from_pretrained("hfunakura/bert-feedback-classifier")
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classifier = pipeline(
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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from transformers import pipeline
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tokenizer = AutoTokenizer.from_pretrained("tohoku-nlp/bert-base-japanese)
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model = AutoModelForSequenceClassification.from_pretrained("hfunakura/bert-feedback-classifier")
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classifier = pipeline(
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