Upload LiquidAI_LFM2.5-VL-1.6B_1.txt with huggingface_hub

LiquidAI_LFM2.5-VL-1.6B_1.txt

@@ -1,9 +1,9 @@
 ```CODE: 
 # Load model directly
-from transformers import AutoProcessor, AutoModelForMultimodalLM
+from transformers import AutoProcessor, AutoModelForImageTextToText
 
 processor = AutoProcessor.from_pretrained("LiquidAI/LFM2.5-VL-1.6B")
-model = AutoModelForMultimodalLM.from_pretrained("LiquidAI/LFM2.5-VL-1.6B")
+model = AutoModelForImageTextToText.from_pretrained("LiquidAI/LFM2.5-VL-1.6B")
 messages = [
     {
         "role": "user",
@@ -27,6 +27,22 @@ print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/LiquidAI_LFM2.5-VL-1.6B_1Av6EEU.py", line 24, in <module>
-    from transformers import AutoProcessor, AutoModelForMultimodalLM
-ImportError: cannot import name 'AutoModelForMultimodalLM' from 'transformers' (/tmp/.cache/uv/environments-v2/27a07e03a063efb6/lib/python3.13/site-packages/transformers/__init__.py)
+  File "/tmp/LiquidAI_LFM2.5-VL-1.6B_1Hgbe78.py", line 26, in <module>
+    processor = AutoProcessor.from_pretrained("LiquidAI/LFM2.5-VL-1.6B")
+  File "/tmp/.cache/uv/environments-v2/27a07e03a063efb6/lib/python3.13/site-packages/transformers/models/auto/processing_auto.py", line 396, in from_pretrained
+    return processor_class.from_pretrained(
+           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        pretrained_model_name_or_path, trust_remote_code=trust_remote_code, **kwargs
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/27a07e03a063efb6/lib/python3.13/site-packages/transformers/processing_utils.py", line 1394, in from_pretrained
+    args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/27a07e03a063efb6/lib/python3.13/site-packages/transformers/processing_utils.py", line 1453, in _get_arguments_from_pretrained
+    args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))
+                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/27a07e03a063efb6/lib/python3.13/site-packages/transformers/models/auto/tokenization_auto.py", line 1153, in from_pretrained
+    raise ValueError(
+        f"Tokenizer class {tokenizer_class_candidate} does not exist or is not currently imported."
+    )
+ValueError: Tokenizer class TokenizersBackend does not exist or is not currently imported.