Instructions to use kittinan/exercise-feedback-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kittinan/exercise-feedback-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kittinan/exercise-feedback-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kittinan/exercise-feedback-classification") model = AutoModelForSequenceClassification.from_pretrained("kittinan/exercise-feedback-classification") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -7,5 +7,5 @@ Model to classify Reddit's comments for exercise feedback. Current classes are g
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from transformers import pipeline
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classifier = pipeline("text-classification", "kittinan/exercise-feedback-classification")
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classifier("search for alan thrall deadlift video he will explain basic ques")
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#[{'label': '
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```
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from transformers import pipeline
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classifier = pipeline("text-classification", "kittinan/exercise-feedback-classification")
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classifier("search for alan thrall deadlift video he will explain basic ques")
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#[{'label': 'correction', 'score': 0.9998193979263306}]
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```
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