It seems `T5WithLMHead` is outdated
Browse filesLeaving it for potential older versions of the lib.
But adding it so that `infer_framework_load_model` from the pipeline can load the model directly without needing to refer to the pipeline task.
https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/modeling_t5.py#L1466
- config.json +2 -1
config.json
CHANGED
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@@ -1,6 +1,7 @@
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{
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"architectures": [
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-
"T5WithLMHeadModel"
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],
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"d_ff": 2048,
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"d_kv": 64,
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{
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"architectures": [
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+
"T5WithLMHeadModel",
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+
"T5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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