Text embedding code failing for single prompt
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Description
When I try to use clap_model.get_text_embedding() on an array with a single prompt in it, the call fails with an error in the Roberta tokenizer. It seems that it's confused about the shape of the array unless there's more than one element in it.
File ".../transformers/models/roberta/modeling_roberta.py", line 802, in forward
batch_size, seq_length = input_shape
ValueError: not enough values to unpack (expected 2, got 1)
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Research direction
Start at clap_model.get_text_embedding() and reproduce the failure with an array containing one prompt. Then inspect the Roberta tokenizer/model path indicated by transformers/models/roberta/modeling_roberta.py:802. Done means the single-prompt call completes without the input-shape error.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100