Text Classification
Safetensors
Transformers
English
LogClassifier
bert
log-classification
log feature
log-similarity
AIOps
Instructions to use rahulm-selector/log-classifier-BERT-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahulm-selector/log-classifier-BERT-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rahulm-selector/log-classifier-BERT-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rahulm-selector/log-classifier-BERT-v1") model = AutoModelForSequenceClassification.from_pretrained("rahulm-selector/log-classifier-BERT-v1") - Notebooks
- Google Colab
- Kaggle
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# log-classifier-BERT-v1
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Developed by [Selector AI](https://www.selector.ai/)
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## Model Usage
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# log-classifier-BERT-v1
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This model is a transformers classification model, trained using BERTForSequenceClassification designed for use in network and device log mining tasks.
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Developed by [Selector AI](https://www.selector.ai/)
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## Model Usage
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