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
- Xet hash:
- bbe4f596256b34edbca4f903865d06cb1c7856712975b89d354f89424717dd10
- Size of remote file:
- 433 MB
- SHA256:
- a4856003cf0c7f1ef7f16c657c24a290aa454c449b4326b5edafbc0ccb143efa
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