Instructions to use Xuhui/ToxDect-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xuhui/ToxDect-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Xuhui/ToxDect-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Xuhui/ToxDect-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("Xuhui/ToxDect-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c681408b95de7b9e011558a73c40e12e5fb1945e6b5d47f58d36bcadb9701635
- Size of remote file:
- 1.42 GB
- SHA256:
- 50bcf063bf41ccf5dab446d3a1eb89ffc0a7b237dbfe9caeadf0d00d7907bac4
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