Comments (4)
Thank you for the update. We can wait a bit longer for the update.
I prefer to avoid install from git. Although a requirements.txt
can contain a git URL, PyPI does not permit packages that have dependencies with direct URL references.
from optimum.
We still need the >= 4.38.0, < 4.39.0
dependency on Transformers for Optimum Habana because the latest stable release of Optimum Habana (i.e. v1.11.1) doesn't work with more recent version of Transformers.
huggingface/optimum-habana#1027 was merged a few days ago to have compatibility with Transformers v4.40 and Optimum Habana v1.12 will be released soon. You can also install the library from source if you want to benefit from this change now:
pip install git+https://github.com/huggingface/optimum-habana.git
from optimum.
Hi,
do you haven an ETA for the new releases of optimum and optimum-habana? We are facing the issue that Habana's vLLM fork wants transfomers >= 4.40
, which conflicts with optimum-habana 1.11.1's >= 4.38.0, < 4.39.0
.
from optimum.
Related Issues (20)
- Add support for porting CLIPVisionModelWithProjection
- onnx optimum ORTOptimizer inference runs slower than setfit.export_onnx runtime.InferenceSession inference HOT 1
- Trying to export a cohere model, that is a custom or unsupported architecture, but no custom onnx configuration was passed as `custom_onnx_configs`.
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices HOT 2
- Support for `torch.export.export` HOT 2
- Add support for export SigLIP models HOT 8
- I had a problem mimicking this site: https://community.amd.com/t5/ai/developer-blog-build-a-chatbot-with-ryzen-ai-processors/ba-p/680693
- TypeError: QDQQuantizer.__init__() got an unexpected keyword argument 'static'
- [Bettertransformer] `Transformers 4.41.0 (torch.SDPA-Bert)` breaks bettertransformers Bert, but works in `Transformers 4.40.2` HOT 7
- Custom MT5 model ONNX export not able to run
- Add feature to export CLIPVisionModel from transformers to onnx
- Add feature to export CLIPVisionModel from transformers to onnx
- exporting ORTModelForVision2Seq doesn't work correctly on Pytorch 1.11 HOT 4
- Add ORT support for the StableDiffusionControlNetPipeline. HOT 1
- Could you provide the official onnx model of Qwen-VL-Chat(-Int4)?
- `merge_decoders` mixes up `decoder_model` and `decoder_model_with_past`
- ONNX export support for 4-bit quantized models HOT 1
- Support for phi3-v Vision Model HOT 1
- Quantization by optimum-cli ignores 'use_external_data_format' flag in ORTConfig and fails to quantize models >2GB
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from optimum.