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distilbert-base-uncased-finetuned-quantized
osanseviero2/distilbert-base-uncased-finetuned-quantized
distilbert-base-uncased-finetuned-quantized is a text classification model from osanseviero2. Use it when you need a label for a piece of text. It is set up for transformers.js.
https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english with ONNX weights to be compatible with Transformers.js.
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.onnx336 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers.js
- Model type
- distilbert
- Access
- Public
- Created
- Oct 19, 2023
- Updated
- Oct 19, 2023
- SHA
- 7612bf10
Try a prompt
Model card
From the Hugging Face model README
https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
transformers = await import_transformers_js() pipeline = transformers.pipeline pipe = await pipeline('sentiment-analysis', 'osanseviero/distilbert-base-uncased-finetuned-quantized')
async def classify(text): return await pipe(text)
demo = gr.Interface(classify, "textbox", "json") demo.launch() </gradio-file>
</gradio-lite>- Task
- Text Classification
- Library
- transformers.js
- Type
- distilbert
- Created
- Oct 19, 2023
- Updated
- Oct 19, 2023