Instructions to use jhonacmarvik/distilbert-command-toxic-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhonacmarvik/distilbert-command-toxic-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jhonacmarvik/distilbert-command-toxic-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jhonacmarvik/distilbert-command-toxic-classifier") model = AutoModelForSequenceClassification.from_pretrained("jhonacmarvik/distilbert-command-toxic-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9c7bdfe1ea4e4b2c77a94c9a45298565a988cd2abe5545567b6fa6fb0d7ebba
- Size of remote file:
- 268 MB
- SHA256:
- 6cae7602492f42514a810b978f44afa5ef4cdfcc4cc5aa72dab81550cfa94bae
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