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") - Notebooks
- Google Colab
- Kaggle
File size: 280 Bytes
c8e45ea | 1 2 3 4 5 6 7 | {% for message in messages %}{% if message['role'] == 'system' %}### INSTRUCTION:
{{ message['content'] }}
{% elif message['role'] == 'user' %}### INPUT:
{{ message['content'] }}
{% elif message['role'] == 'assistant' %}### OUTPUT:
{{ message['content'] }}
{% endif %}{% endfor %} |