Instructions to use wisnu001binus/hate_speech_detection_DistilBERTbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wisnu001binus/hate_speech_detection_DistilBERTbase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wisnu001binus/hate_speech_detection_DistilBERTbase")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wisnu001binus/hate_speech_detection_DistilBERTbase") model = AutoModelForSequenceClassification.from_pretrained("wisnu001binus/hate_speech_detection_DistilBERTbase") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("wisnu001binus/hate_speech_detection_DistilBERTbase")
model = AutoModelForSequenceClassification.from_pretrained("wisnu001binus/hate_speech_detection_DistilBERTbase")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wisnu001binus/hate_speech_detection_DistilBERTbase")