Instructions to use christinacdl/OLID_OFFENSIVE_BERT_MULTILINGUAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use christinacdl/OLID_OFFENSIVE_BERT_MULTILINGUAL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="christinacdl/OLID_OFFENSIVE_BERT_MULTILINGUAL")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("christinacdl/OLID_OFFENSIVE_BERT_MULTILINGUAL") model = AutoModelForSequenceClassification.from_pretrained("christinacdl/OLID_OFFENSIVE_BERT_MULTILINGUAL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot