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
File size: 129 Bytes
3c77d42 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e66a9ffac11d0815b29d1b510cd26c2dd40ad26937423d92d93cc2d0a0d1b05e
size 5201
|