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chore: fix XVLA in transformers v5 (#3006)

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This commit is contained in:
Jade Choghari
2026-02-24 12:29:48 +03:00
committed by GitHub
parent 1d048c7e2b
commit 8c95a71c94
1 changed files with 12 additions and 7 deletions
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src/lerobot/policies/xvla/modeling_florence2.py
+12 -7
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@@ -1951,7 +1951,10 @@ class Florence2Decoder(Florence2LanguagePreTrainedModel):
class Florence2LanguageModel(Florence2LanguagePreTrainedModel):
_tied_weights_keys = ["encoder.embed_tokens.weight", "decoder.embed_tokens.weight"]
_tied_weights_keys = {
"encoder.embed_tokens.weight": "shared.weight",
"decoder.embed_tokens.weight": "shared.weight",
}
def __init__(self, config: Florence2LanguageConfig):
super().__init__(config)
@@ -2076,7 +2079,10 @@ class Florence2LanguageModel(Florence2LanguagePreTrainedModel):
class Florence2LanguageForConditionalGeneration(Florence2LanguagePreTrainedModel, GenerationMixin):
base_model_prefix = "model"
_tied_weights_keys = ["encoder.embed_tokens.weight", "decoder.embed_tokens.weight", "lm_head.weight"]
_tied_weights_keys = {
"model.encoder.embed_tokens.weight": "model.shared.weight",
"model.decoder.embed_tokens.weight": "model.shared.weight",
}
_keys_to_ignore_on_load_missing = ["final_logits_bias"]
def __init__(self, config: Florence2LanguageConfig):
@@ -2436,11 +2442,10 @@ FLORENCE2_INPUTS_DOCSTRING = r"""
FLORENCE2_START_DOCSTRING,
)
class Florence2ForConditionalGeneration(Florence2PreTrainedModel):
_tied_weights_keys = [
"language_model.encoder.embed_tokens.weight",
"language_model.decoder.embed_tokens.weight",
"language_model.lm_head.weight",
]
_tied_weights_keys = {
"language_model.model.encoder.embed_tokens.weight": "language_model.model.shared.weight",
"language_model.model.decoder.embed_tokens.weight": "language_model.model.shared.weight",
}
def __init__(self, config: Florence2Config):
super().__init__(config)