Instructions to use lisagrace/hate_speech_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lisagrace/hate_speech_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lisagrace/hate_speech_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lisagrace/hate_speech_bert") model = AutoModelForSequenceClassification.from_pretrained("lisagrace/hate_speech_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - vi | |
| metrics: | |
| - accuracy | |
| library_name: transformers | |
| pipeline_tag: text-classification | |
| tags: | |
| - hatespeech | |
| - nlp | |
| - text_classification | |
| A model finetuned on Vietnamese dataset with an accuracy of 0.95 |