System Info
-
transformers
version: 4.9.0 - Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (gpu)
- Jax version: 0.4.8
- JaxLib version: 0.4.7
- Using GPU in script?:
- Using distributed or parallel set-up in script?:
-Models: FlaxHybridCLIP
I’m trying to load a trained FlaxHybridCLIP model from a folder that contains the following files
config.json
flax_model.msgpack
I attempted to load it using the below:
if args.run_from_checkpoint is not None:
with open(f"{args.run_from_checkpoint}/config.json", "r") as fp:
config_dict = json.load(fp)
config_dict["vision_config"]["model_type"] = "clip"
config = HybridCLIPConfig(**config_dict)
model = FlaxHybridCLIP.from_pretrained(
args.run_from_checkpoint,
seed=training_args.seed,
dtype=getattr(jnp, model_args.dtype),
config=config,
freeze_backbones=args.freeze_backbones
)
But, I encountered the following error:
text_config_dict is None. Initializing the CLIPTextConfig with default values.
vision_config_dict is None. initializing the CLIPVisionConfig with default values.
loading weights file freeze/flax_model.msgpack
Traceback (most recent call last):
File "run_hybrid_clip.py", line 832, in <module>
main()
File "run_hybrid_clip.py", line 529, in main
model = FlaxHybridCLIP.from_pretrained(
File "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/modeling_flax_utils.py", line 350, in from_pretrained
state = from_bytes(cls, state_f.read())
File "/home/ubuntu/.local/lib/python3.8/site-packages/flax/serialization.py", line 359, in from_bytes
state_dict = msgpack_restore(encoded_bytes)
File "/home/ubuntu/.local/lib/python3.8/site-packages/flax/serialization.py", line 342, in msgpack_restore
return msgpack.unpackb(
File "msgpack/_unpacker.pyx", line 201, in msgpack._cmsgpack.unpackb
msgpack.exceptions.ExtraData: unpack(b) received extra data.
I used the modified Italian hybrid CLIP scripts here
Expected behavior
to load successfully and fine-tune with unfrozen backbone
Thanks