Instructions to use whitedevil0089devil/Cyber_bot_squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/Cyber_bot_squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/Cyber_bot_squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/Cyber_bot_squad2") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/Cyber_bot_squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73e30315efc678f87eef5b28d0a975766ebf0bf0d373823ebdcf16d57673b25b
- Size of remote file:
- 997 MB
- SHA256:
- c8860c88a03bc55f4cf0f9cbf3da4ff36c4bd5364b9142be37000de186da0cab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.