Text Classification
Transformers
Safetensors
English
distilbert
log-analysis
openstack
fine-tuned
text-embeddings-inference
Instructions to use kxshrx/infrnce-bert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kxshrx/infrnce-bert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kxshrx/infrnce-bert-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kxshrx/infrnce-bert-classifier") model = AutoModelForSequenceClassification.from_pretrained("kxshrx/infrnce-bert-classifier") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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tags:
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- text-classification
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- log-analysis
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- openstack
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- distilbert
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- fine-tuned
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pipeline_tag: text-classification
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# INFRNCE BERT Log Classification Model
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This is a fine-tuned DistilBERT model for classifying OpenStack Nova log entries into different operational categories.
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license: apache-2.0
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language: en
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library_name: transformers
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pipeline_tag: text-classification
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tags:
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- text-classification
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- distilbert
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- log-analysis
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- openstack
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- fine-tuned
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- text: "Instance 1234 has failed to connect to the network"
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# INFRNCE BERT Log Classification Model
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This is a fine-tuned DistilBERT model for classifying OpenStack Nova log entries into different operational categories.
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