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Export Hugging Face models to Core ML and TensorFlow Lite
Running any model that I've exported myself returns nonsensical generation that is often the same token multiple times.
When trying to convert a model with safetensor weights, exporters fails with `[MODEL] does not appear to have a file named pytorch_model.bin, tf_model.h5, model.ckpt or flax_model.msgpack`. Adding support would help...
Hello, I am very new to HuggingFace and machine learning in general. I understand that the Blip model is not supported for conversion to coreml. Can this be added to...
Embeddings models are very useful, and can easily be run on device in terms of hardware specs. It would be awesome if swift-transformers would work with them.
Specifically the convert.py file Made for Optimization: cache past key-values, [https://github.com/huggingface/swift-transformers/issues/9] Prunes model utilizing this. believe it does work, but I haven't gotten a complete model yet because of memory...
Hey guys, I'm pretty new to CoreML conversion stuff and took the naive approach of converting a T5-Base model to CoreML (I want to use it to generate summarisations). As...
Hi! Sorry for a noob question, but I've had an experience using BERT in *.mlmodel format, where I just added it to my project, created a *.swift file with its...
Hello, I'm trying to convert M2M100 to CoreML. I saw that it is [partially supported](https://github.com/huggingface/exporters/blob/main/MODELS.md), and I was wondering if there's any example script to do this. Here's what I...
this would be really helpful for an app we are building
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Export Hugging Face models to Core ML and TensorFlow Lite