Instructions to use citizenlab/distilbert-base-multilingual-cased-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use citizenlab/distilbert-base-multilingual-cased-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="citizenlab/distilbert-base-multilingual-cased-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("citizenlab/distilbert-base-multilingual-cased-toxicity") model = AutoModelForSequenceClassification.from_pretrained("citizenlab/distilbert-base-multilingual-cased-toxicity", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Request: DOI
#5 opened over 2 years ago
by
mrguppy02
Support for Arabic
#4 opened over 2 years ago
by
edmundgoldsberry
Add TF weights
#3 opened over 3 years ago
by
Horenskyih
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Add multilingual to the language tag
#1 opened over 3 years ago
by
lbourdois