Instructions to use basic-go/texbert-moderator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basic-go/texbert-moderator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="basic-go/texbert-moderator")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("basic-go/texbert-moderator") model = AutoModelForSequenceClassification.from_pretrained("basic-go/texbert-moderator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97817bbb7009bdbabdb1a9f7f4ce4eaf0fe9193e8c74e83646f81fe520d825ba
- Size of remote file:
- 499 MB
- SHA256:
- 09814f08f98568ff176072c2819ec36caac798b871497e40c8ecbf2e7ae887ff
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