json-translate
fastT5
| json-translate | fastT5 | |
|---|---|---|
| 1 | 5 | |
| 39 | 540 | |
| - | - | |
| 6.4 | 0.0 | |
| about 1 month ago | about 1 year ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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json-translate
fastT5
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Speeding up T5
I've tried https://github.com/Ki6an/fastT5 but it works with CPU only.
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Convert Pegasus model to ONNX
I am working on a project where I fine-tuned a Pegasus model on the Reddit dataset. Now, I need to convert the fine-tuned model to ONNX for the deployment stage. I have followed this guide from Huggingface to convert to the ONNX model for unsupported architects. I got it done but the ONNX model can't generate text. Turned out that Pegasus is an encoder-decoder model and most guides are for either encoder-model (e.g. BERT) or decoder-model (e.g. GPT2). I found the only example of converting an encoder-decoder model to ONNX from here https://github.com/Ki6an/fastT5.
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[P] What we learned by making T5-large 2X faster than Pytorch (and any autoregressive transformer)
Microsoft Onnx Runtime T5 export tool / FastT5: to support caching, it exports 2 times the decoder part, one with cache, and one without (for the first generated token). So the memory footprint is doubled, which makes the solution difficult to use for these large transformer models.
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Conceptually, what are the "Past key values" in the T5 Decoder?
Here is the fastT5 model code for reference code:https://github.com/Ki6an/fastT5/blob/master/fastT5/onnx_models.py
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[P] boost T5 models speed up to 5x & reduce the model size by 3x using fastT5.
for more information on the project refer to the repository here.
What are some alternatives?
discord-auto-translate - A bot that automatically translates foreign messages into English with support for a range of common translation API services.
Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms
deep-translator - A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
mt5-M2M-comparison - Comparing M2M and mT5 on a rare language pairs, blog post: https://medium.com/@abdessalemboukil/comparing-facebooks-m2m-to-mt5-in-low-resources-translation-english-yoruba-ef56624d2b75
Weblate - Web based localization tool with tight version control integration.
frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet
translate-json - 📓 Translate string values in a JSON document using the Google Cloud Translation API
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
translate - A module grouping multiple translation APIs
FasterTransformer - Transformer related optimization, including BERT, GPT
Pootle - Online translation tool
sparktorch - Train and run Pytorch models on Apache Spark.