Instructions to use 19kmunz/IoT-23-BERT-Network-Logs-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 19kmunz/IoT-23-BERT-Network-Logs-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="19kmunz/IoT-23-BERT-Network-Logs-Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("19kmunz/IoT-23-BERT-Network-Logs-Classification") model = AutoModelForSequenceClassification.from_pretrained("19kmunz/IoT-23-BERT-Network-Logs-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Final_Model_Source_Code.ipynb from 19kmunz/IoT-23-BERT-Network-Logs-Classification: direct link, hf CLI and curl.
- Browser
- Download file 23.8 kB
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https://huggingface.co/19kmunz/IoT-23-BERT-Network-Logs-Classification/resolve/main/Final_Model_Source_Code.ipynb
- Command line
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hf download hf://19kmunz/IoT-23-BERT-Network-Logs-Classification/Final_Model_Source_Code.ipynb
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curl -L -o Final_Model_Source_Code.ipynb https://huggingface.co/19kmunz/IoT-23-BERT-Network-Logs-Classification/resolve/main/Final_Model_Source_Code.ipynb
23.8 kB