Instructions to use AnonymousCS/BERT_offenseval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/BERT_offenseval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/BERT_offenseval")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/BERT_offenseval") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/BERT_offenseval", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdd824414755b017f5262606a2514aa85749524fabcd2af8b960c7cf6d33c420
- Size of remote file:
- 438 MB
- SHA256:
- 397e6168b6b9c1e17c7323fc555bd3d30f8a0809606bf236be9dd16d91a26cc6
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