Instructions to use entfane/bert_cyberharm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entfane/bert_cyberharm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="entfane/bert_cyberharm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("entfane/bert_cyberharm") model = AutoModelForSequenceClassification.from_pretrained("entfane/bert_cyberharm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 947447ffd4eecd889bfe7999769d6176995d655269b8bead88ac57663cdabf78
- Size of remote file:
- 438 MB
- SHA256:
- 8e27ed0e21001cea99f526d72a27b977303f67d5f01a74f6d5414282f3f2e4d6
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