However, there was some issue with loading the model due to some attributes inconsistency.
Fetching 3 files: 100%|██████████| 3/3 [00:00<00:00, 11904.36it/s]
INFO Loading model...
Traceback (most recent call last):
File ".../test_scanvi.py", line 163, in <module>
print(hubmodel.model)
File "/home/.../micromamba/lib/python3.9/site-packages/scvi/hub/hub_model.py", line 230, in model
self.load_model()
File "/home/.../micromamba/lib/python3.9/site-packages/scvi/hub/hub_model.py", line 275, in load_model
model_cls = getattr(python_module, model_cls_name)
AttributeError: module 'scvi.model' has no attribute 'RNAStereoscope'
Hi!
I followed this tutorial scvi-hugging-face to load pre-trained scvi models and make some predictions/obtain the latent representation.
This is my current environment:
env.yaml
requirements.txt
I decided to start with this example:
However, there was some issue with loading the model due to some attributes inconsistency.
I have been able to run this one:
Is this error expected due to an error in my implementation or the hugging face interface is still experimental and some errors are expected?
Thank you in advance for your time!