Instructions to use teoogherghi/Log-Analysis-Model-DistilBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teoogherghi/Log-Analysis-Model-DistilBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teoogherghi/Log-Analysis-Model-DistilBert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teoogherghi/Log-Analysis-Model-DistilBert") model = AutoModelForSequenceClassification.from_pretrained("teoogherghi/Log-Analysis-Model-DistilBert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d7ba233f9563eaa810a97c8bd5f597198816f8f687032cefe6fc3b1ff2e4d6b
- Size of remote file:
- 5.05 kB
- SHA256:
- 3b11f18b78fd04af52f48c185b27e7c43d727dea101443415e35cab93ce1c6c6
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