Instructions to use ksgr5566/demo_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksgr5566/demo_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ksgr5566/demo_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ksgr5566/demo_classification") model = AutoModelForSequenceClassification.from_pretrained("ksgr5566/demo_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model.onnx with huggingface_hub
Browse files- model.onnx +1 -1
model.onnx
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