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**Description**
Please consider adding Core ML model package format support to utilize Apple Silicone Nural Engine + GPU.
**Success Criteria**
Utilize both ANE & GPU, not just GPU on Apple Sili…
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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.
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I am encountering an issue when trying to load a custom merged GPT2 tokenizer using GPT2TokenizerFast. Despite ensuring that the tokenizer.json file is correctly formatted, I receive the following err…
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```NPROC_PER_NODE=1 \
MASTER_PORT=29510 \
CUDA_VISIBLE_DEVICES=0,1 \
swift sft \
--model_type qwen2-vl-7b-instruct \
--model_id_or_path $MODEL_PATH \
--sft_type lora \
--tuner_b…
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Hi!
I'm converting the Microsoft's Phi-2 model to use with `swift-transformers`.
The conversion process is actually very seamless:
```
from transformers import AutoTokenizer, AutoModelForCau…
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Please consider adding Core ML model package format support to utilize Apple Silicone Nural Engine + GPU.
List of Core ML package format models
https://github.com/likedan/Awesome-CoreML-Models
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Does it support ONNX conversion for example through skl2onnx if it has scikit-learn compatibility?
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**Description**
Please consider adding Core ML model package format support to utilize Apple Silicone Nural Engine + GPU.
**Success Criteria**
Utilize both ANE & GPU, not just GPU on Apple Sili…
-
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 …