Translation
Transformers
PyTorch
TensorFlow
JAX
Rust
ONNX
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-small with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="google-t5/t5-small")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-small") - Inference
- Notebooks
- Google Colab
- Kaggle
Add Core ML conversion
#16
by KamKamHo - opened
coreml/feature-extraction/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel
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coreml/feature-extraction/float32_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9a9b0f6496dfda734639437c28214f47d69f930a8020fee159bbfb64b6850bc
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size 243555584
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coreml/feature-extraction/float32_model.mlpackage/Manifest.json
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{
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"fileFormatVersion": "1.0.0",
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"itemInfoEntries": {
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"8A12D784-342B-4613-8B5D-F2D7FBB5BC93": {
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"author": "com.apple.CoreML",
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"description": "CoreML Model Weights",
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"name": "weights",
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"path": "com.apple.CoreML/weights"
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},
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"A83E94CB-67DE-4642-A3B9-437906B41C3F": {
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"author": "com.apple.CoreML",
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"description": "CoreML Model Specification",
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"name": "model.mlmodel",
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"path": "com.apple.CoreML/model.mlmodel"
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}
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},
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"rootModelIdentifier": "A83E94CB-67DE-4642-A3B9-437906B41C3F"
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}
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