Instructions to use Apoksk1/convbert-offensive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apoksk1/convbert-offensive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Apoksk1/convbert-offensive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Apoksk1/convbert-offensive") model = AutoModelForSequenceClassification.from_pretrained("Apoksk1/convbert-offensive") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d6ebe4fc14194ede37cecb83e470f9d8b46f00e9a3fdc8f2029786d53798062
- Size of remote file:
- 4.98 kB
- SHA256:
- bad73a2904331688e4272bbd190f9ef9226ce0257169cd7901abb713664e9aaa
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