Repository: huggingface/transformers
Pull request: Update Phi4 converter

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Fixes # (issue)


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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @eustlb
- graph models: @clefourrier

Library:

- flax: @gante and @Rocketknight1
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @zach-huggingface and @SunMarc
- chat templates: @Rocketknight1

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- diffusers: [different repo](https://github.com/huggingface/diffusers)
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Changed files:
filename: docs/source/en/model_doc/phi4_multimodal.md
patch: @@ -64,7 +64,7 @@ inputs = processor.apply_chat_template(
     tokenize=True,
     return_dict=True,
     return_tensors="pt",
-).to(device, torch.float16)
+).to(device)
 
 # Generate response
 generate_ids = model.generate(
@@ -98,8 +98,7 @@ inputs = processor.apply_chat_template(
     tokenize=True,
     return_dict=True,
     return_tensors="pt",
-    sample_rate=sample_rate,
-).to(device, torch.float16)
+).to(device)
 
 generate_ids = model.generate(
     **inputs,

filename: src/transformers/models/phi4_multimodal/convert_phi4_multimodal_weights_to_hf.py
patch: @@ -170,12 +170,25 @@ def convert_and_save_processor(input_dir: str, output_dir: str):
     """Convert the processor."""
     original_processor = AutoProcessor.from_pretrained(input_dir, trust_remote_code=True)
     original_processor.tokenizer.extra_special_tokens = {"image_token": "
", "audio_token": "
"}
+    # We need to add those temporarily to instantiate the processor
+    original_processor.tokenizer.image_token = "
"
+    original_processor.tokenizer.audio_token = "
"
+    original_processor.tokenizer.image_token_id = 200010
+    original_processor.tokenizer.audio_token_id = 200011
+
     converted_processor = Phi4MultimodalProcessor(
         tokenizer=original_processor.tokenizer,
         image_processor=Phi4MultimodalImageProcessorFast(),
         audio_processor=Phi4MultimodalFeatureExtractor(),
         chat_template=CHAT_TEMPLATE,
     )
+    # We remove them before saving to avoid polluting somehow
+    del converted_processor.tokenizer.image_token
+    del converted_processor.tokenizer.image_token_id
+    del converted_processor.tokenizer.audio_token
+    del converted_processor.tokenizer.audio_token_id
+
+    # Save the processor
     converted_processor.save_pretrained(output_dir)
 
     # we need to rename a few tokens but tokenizers doesn't allow doing that programatically