# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("kittinan/exercise-feedback-classification")
model = AutoModelForSequenceClassification.from_pretrained("kittinan/exercise-feedback-classification")Quick Links
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Check out the documentation for more information.
Reddit exercise feedback classification
Model to classify Reddit's comments for exercise feedback. Current classes are good, correction, bad posture, not informative. If you want to use it locally,
Usage:
from transformers import pipeline
classifier = pipeline("text-classification", "kittinan/exercise-feedback-classification")
classifier("search for alan thrall deadlift video he will explain basic ques")
#[{'label': 'correction', 'score': 0.9998193979263306}]
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kittinan/exercise-feedback-classification")