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
File size: 134 Bytes
fabdab6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8e27ed0e21001cea99f526d72a27b977303f67d5f01a74f6d5414282f3f2e4d6
size 437955548
|