Update custom_st.py (#19)
Browse files- Update custom_st.py (89146e49f8e1cd1cd5231642a803167c3868f443)
- Update custom_st.py (23e2bf96c6f5d8b13f352d4ac29cd153f522ab91)
- Update custom_st.py (7a9a21cc961c2fd89de1c56c616a7c64e9cbcd2a)
Co-authored-by: kosung <kosung@users.noreply.huggingface.co>
- custom_st.py +3 -1
custom_st.py
CHANGED
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@@ -1,3 +1,5 @@
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from io import BytesIO
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from typing import Any, Dict, Optional, List
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import torch
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@@ -51,7 +53,7 @@ class MultiModalTransformer(BaseTransformer):
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self, features: Dict[str, torch.Tensor], **kwargs
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) -> Dict[str, torch.Tensor]:
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if features.get("inputs_embeds", None) is None:
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features["inputs_embeds"] = self.auto_model.base_model.
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if features.get("pixel_values", None) is not None:
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features["pixel_values"] = features["pixel_values"].type(self.auto_model.visual.get_dtype())
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image_embeds = self.auto_model.visual(
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import math
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import logging
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from io import BytesIO
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from typing import Any, Dict, Optional, List
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import torch
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self, features: Dict[str, torch.Tensor], **kwargs
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) -> Dict[str, torch.Tensor]:
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if features.get("inputs_embeds", None) is None:
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features["inputs_embeds"] = self.auto_model.base_model.get_input_embeddings()(features["input_ids"])
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if features.get("pixel_values", None) is not None:
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features["pixel_values"] = features["pixel_values"].type(self.auto_model.visual.get_dtype())
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image_embeds = self.auto_model.visual(
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