Comments (1)
This issue arose because Hugging Face made changes to its ModelOutput class, which served as the parent class for both the Prediction and Target classes within our framework. In the latest release, I replicated the previous ModelOutput definition from Hugging Face and (hopefully) resolved the problem. Please give it a try.
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Related Issues (20)
- Running the code on Mac
- whar aspects of language gets considered while evaluating the tranlsation by COMET. as far as I am aware of MQM metric sare covered in it. Interested to know other terminolofy/features of language gets in COMET. HOT 1
- what aspects of language get considered while evaluating the translation by COMET. as far as I am aware of MQM metrics are covered in it. Interested in knowing other terminology/features of language gets in COMET. I am looking for metric along with COMET that can assess the translated content for cosmetic domain data. please suggest. HOT 1
- [QUESTION] Train Your Own Metric HOT 2
- Multi-gpu inference returns AttributeError HOT 7
- Mismatch between error span and offsets HOT 2
- [QUESTION] Reliability for en-th and th-en pair HOT 2
- AttributeError: 'dict' object has no attribute 'scores' HOT 2
- [QUESTION] AttributeError: An error occurred during model prediction: 'dict' object has no attribute 'scores' HOT 5
- AttributeError: 'dict' object has no attribute 'scores' when using the model 'Unbabel/wmt22-cometkiwi-da' HOT 4
- When loading huggingface Unbabel/wmt22-cometkiwi-da checkpoint, UnpicklingError
- [QUESTION] Unable to use ReLU as activation function HOT 4
- [QUESTION] Keep getting scores of '0' no matter what input used HOT 5
- HF Hub dependency conflicts with latest `tranformers` version. HOT 3
- if tgt is same with src, the score is still high HOT 2
- [QUESTION] Train UnifiedMetric/XCOMET with word level predictions. HOT 1
- Sparsemax not actually used in COMET-KIWI, XCOMET-XL/XXL HOT 4
- Invalid link reference of reference-free model in readme
- Minimizing cpu RAM vs only use GPU RAM HOT 1
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