Instructions to use Xenova/tiny-random-RoFormerForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny-random-RoFormerForSequenceClassification with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Xenova/tiny-random-RoFormerForSequenceClassification');
Commit History
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Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)
Verified signature- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (ff10a1d4660c887bb358698de3fd554694d3a4da) - Upload README.md with huggingface_hub (b82207780b25ee4565e192a170083a606189262e) Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>e13c226
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[Automated] Update base model metadata
Verified signatureSet base model to "hf-tiny-model-private/tiny-random-RoFormerForSequenceClassification"fabdbb0
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Upload fp16 ONNX weights
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Upload folder using huggingface_hub
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Upload README.md with huggingface_hub
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initial commit
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