Instructions to use TangoBeeAkto/unbiased-toxic-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TangoBeeAkto/unbiased-toxic-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TangoBeeAkto/unbiased-toxic-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TangoBeeAkto/unbiased-toxic-roberta") model = AutoModelForSequenceClassification.from_pretrained("TangoBeeAkto/unbiased-toxic-roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24cf07f6ca26098eaed7969152b862e11eea26ae955fa8db5112b91b967ea0dd
- Size of remote file:
- 499 MB
- SHA256:
- 312c6b3df672e8e2573110b9bbfbfd608d79d780bd5a80aa5388527b65127822
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