Text Classification
Transformers
PyTorch
Tagalog
English
roberta
Generated from Trainer
tagalog
filipino
twitter
text-embeddings-inference
Instructions to use mapsoriano/roberta-tagalog-base-philippine-elections-2016-2022-hate-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mapsoriano/roberta-tagalog-base-philippine-elections-2016-2022-hate-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mapsoriano/roberta-tagalog-base-philippine-elections-2016-2022-hate-speech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mapsoriano/roberta-tagalog-base-philippine-elections-2016-2022-hate-speech") model = AutoModelForSequenceClassification.from_pretrained("mapsoriano/roberta-tagalog-base-philippine-elections-2016-2022-hate-speech") - Notebooks
- Google Colab
- Kaggle