Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Rishi-19/Profanity_Check_Final_Data_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rishi-19/Profanity_Check_Final_Data_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rishi-19/Profanity_Check_Final_Data_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rishi-19/Profanity_Check_Final_Data_1") model = AutoModelForSequenceClassification.from_pretrained("Rishi-19/Profanity_Check_Final_Data_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b220849d39dee6091d30cf122309a885017c022365db66483ab23f7175edeb3a
- Size of remote file:
- 268 MB
- SHA256:
- 1f7fcdb1dc4f971e52f8fc5b714f9e17aa7068dbf2f7caedc95a09dc480ccaca
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