Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mginoben/roberta-tagalog-profanity-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mginoben/roberta-tagalog-profanity-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mginoben/roberta-tagalog-profanity-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mginoben/roberta-tagalog-profanity-classifier") model = AutoModelForSequenceClassification.from_pretrained("mginoben/roberta-tagalog-profanity-classifier") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jun05_01-55-37_d4587610e646
- Jun05_02-10-40_d4587610e646
- Jun05_02-12-38_d4587610e646
- Jun05_02-13-34_d4587610e646
- Jun05_02-14-14_d4587610e646
- Jun05_02-26-36_d4587610e646
- Jun05_02-31-49_d4587610e646
- Jun05_02-39-39_d4587610e646
- Jun05_02-40-38_d4587610e646
- Jun05_02-42-02_d4587610e646
- Jun05_02-42-40_d4587610e646
- Jun05_02-59-35_d4587610e646
- Jun05_03-19-50_d4587610e646
- Jun05_03-29-52_d4587610e646