Instructions to use Xenova/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/mt5-base with Transformers.js:
// β οΈ Unknown pipeline tag
Commit History
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Add/update the quantized ONNX model files and README.md for Transformers.js v3β
Verified signature## Applied Quantizations ### β Based on `decoder_model.onnx` *with* slimming β³ β `fp16`: `decoder_model_fp16.onnx` (added) β³ β `int8`: `decoder_model_int8.onnx` (added) β³ β `uint8`: `decoder_model_uint8.onnx` (added) β³ β `q4`: `decoder_model_q4.onnx` (added) β³ β `q4f16`: `decoder_model_q4f16.onnx` (added) β³ β `bnb4`: `decoder_model_bnb4.onnx` (added) ### β Based on `decoder_model.onnx` *with* slimming β³ β `fp16`: `decoder_model_fp16.onnx` (added) β³ β `int8`: `decoder_model_int8.onnx` (added) β³ β `uint8`: `decoder_model_uint8.onnx` (added) β³ β `q4`: `decoder_model_q4.onnx` (added) β³ β `q4f16`: `decoder_model_q4f16.onnx` (added) β³ β `bnb4`: `decoder_model_bnb4.onnx` (added) ### β Based on `encoder_model.onnx` *with* slimming β³ β `int8`: `encoder_model_int8.onnx` (added) β³ β `uint8`: `encoder_model_uint8.onnx` (added) β³ β `q4`: `encoder_model_q4.onnx` (added) β³ β `q4f16`: `encoder_model_q4f16.onnx` (added) β³ β `bnb4`: `encoder_model_bnb4.onnx` (added) ### β Based on `encoder_model.β¦efd4c34
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[Automated] Update base model metadataβ
Verified signatureSet base model to "google/mt5-base"244dcce
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Upload fp16 ONNX weights
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Upload fp16 ONNX weights
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Upload tokenizer.json with huggingface_hub (#1)β
Verified signature- Upload tokenizer.json with huggingface_hub (96133e5777a3e6db003001311378c38769a0c84c)beed239
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Upload folder using huggingface_hub
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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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