Instructions to use whitedevil0089devil/Cyber_Bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/Cyber_Bot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/Cyber_Bot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/Cyber_Bot") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/Cyber_Bot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c421823c0536b9acfcfcc40a7f6d41f8dbb7fa5486540e465045ac2bd26c0663
- Size of remote file:
- 101 MB
- SHA256:
- 202d5d07b8ef66f2cb350031fc176d837855c38711b0987a7b3461f562c595c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.