Instructions to use Xenova/conv-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/conv-bert-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Xenova/conv-bert-base');
Commit History
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Add/update the quantized ONNX model files and README.md for Transformers.js v3
Verified signature## Applied Quantizations ### ❌ Based on `model.onnx` *with* slimming ``` None ``` ↳ ❌ `int8`: `model_int8.onnx` (added but JS-based E2E test failed) ``` /home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime-node/dist/backend.js:25 __classPrivateFieldGet(this, _OnnxruntimeSessionHandler_inferenceSession, "f").loadModel(pathOrBuffer, options); ^ Error: Could not find an implementation for ConvInteger(10) node with name '/encoder/layer.0/attention/self/key_conv_attn_layer/depthwise/Conv_quant' at new OnnxruntimeSessionHandler (/home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime-node/dist/backend.js:25:92) at Immediate.<anonymous> (/home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime-node/dist/backend.js:67:29) at process.processImmediate (n…b84c2ea
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[Automated] Update base model metadata
Verified signatureSet base model to "YituTech/conv-bert-base"d8b9bb8
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Upload fp16 ONNX weights
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Update README.md
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Update README.md
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Update README.md
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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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