Text Classification
Transformers
Safetensors
English
distilbert
devops
sre
incident-triage
mlops
fastapi
python
text-embeddings-inference
Instructions to use dongkoony/devops-incident-triage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongkoony/devops-incident-triage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dongkoony/devops-incident-triage")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dongkoony/devops-incident-triage") model = AutoModelForSequenceClassification.from_pretrained("dongkoony/devops-incident-triage") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac11cdf4b6e811e248713b1ef59b2e7e949918b39fcecdfa847fea70f5e47f8a
- Size of remote file:
- 5.2 kB
- SHA256:
- e66a9ffac11d0815b29d1b510cd26c2dd40ad26937423d92d93cc2d0a0d1b05e
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