Fix compatibility with transformers v 4.39.0 #1764
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echarlaix
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
echarlaix
commented
Mar 22, 2024
| @@ -15,7 +15,7 @@ | |||
| REQUIRED_PKGS = [ | |||
| "coloredlogs", | |||
| "sympy", | |||
| "transformers[sentencepiece]>=4.26.0", | |||
| "transformers[sentencepiece]>=4.26.0,<4.40.0", | |||
echarlaix
commented
Mar 22, 2024
| @@ -252,6 +252,7 @@ class GemmaOnnxConfig(LlamaOnnxConfig): | |||
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| class PhiOnnxConfig(TextDecoderWithPositionIdsOnnxConfig): | |||
| DEFAULT_ONNX_OPSET = 14 # Phi now uses F.scaled_dot_product_attention by default for torch>=2.1.1. | |||
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young-developer
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May 10, 2024
* Add can_generate method to fix compatibility with transformers v4.39.0 * fix style * fix import * pin transformers version * Fix Phi model export
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Fix compatibility of ORTModels with transformers pipelines (broken since huggingface/transformers@53d8912)
Failing tests : https://github.com/huggingface/optimum/actions/runs/8377803444
Also update phi default opset (needed since huggingface/transformers#29108)