Text Classification
Transformers
PyTorch
Safetensors
German
bert
hate-speech-classification
text-embeddings-inference
Instructions to use shahrukhx01/gbert-germeval-2021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahrukhx01/gbert-germeval-2021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shahrukhx01/gbert-germeval-2021")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shahrukhx01/gbert-germeval-2021") model = AutoModelForSequenceClassification.from_pretrained("shahrukhx01/gbert-germeval-2021") - Notebooks
- Google Colab
- Kaggle
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("shahrukhx01/gbert-germeval-2021")
model = AutoModelForSequenceClassification.from_pretrained("shahrukhx01/gbert-germeval-2021")
Dataset
@proceedings{germeval-2021-germeval,
title = "Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments",
editor = "Risch, Julian and
Stoll, Anke and
Wilms, Lena and
Wiegand, Michael",
month = sep,
year = "2021",
address = "Duesseldorf, Germany",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.germeval-1.0",
}
license: mit
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