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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2a04cbb1be2fdcb50b667bf9522668999cc142e2fd4838dafd527afbacdc415
- Size of remote file:
- 1.06 kB
- SHA256:
- d0e180b9d16715b5c4bb0862f2b0f2650a7cddafb89be0708bfbf0d10d4e9382
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.