Instructions to use p3ngdump/kcbert-base-hate-withunsmile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p3ngdump/kcbert-base-hate-withunsmile with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="p3ngdump/kcbert-base-hate-withunsmile")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("p3ngdump/kcbert-base-hate-withunsmile") model = AutoModelForSequenceClassification.from_pretrained("p3ngdump/kcbert-base-hate-withunsmile") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("p3ngdump/kcbert-base-hate-withunsmile")
model = AutoModelForSequenceClassification.from_pretrained("p3ngdump/kcbert-base-hate-withunsmile")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="p3ngdump/kcbert-base-hate-withunsmile")