MlModel not working as expected

[yeelauren]

Hey there! Hoping someone can help me troubleshoot. I've got an api key and can successfully replicate steps to view data sets, but to see the MLmodels I keep getting an error:

from radiant_mlhub import MLModel
models = MLModel.list()
first_model = models[0]

TypeError: init() got an unexpected keyword argument 'assets'

However I can successfully do this:

models = list_models()
first_model = models[0]

and this:

from radiant_mlhub.client import get_model_by_id
model = get_model_by_id('model_ramp_baseline_v1')
model.keys()

But not this: from radiant_mlhub import MLModel model = MLModel.fetch('model_ramp_baseline_v1')

TypeError Traceback (most recent call last) /home/lauren/Projects/notebooks/download_weights.ipynb Cell 9 in <cell line: 2>() 1 from radiant_mlhub import MLModel ----> 2 model = MLModel.fetch(ramp_model)

File ~/miniconda3/envs/deep-learning/lib/python3.9/site-packages/radiant_mlhub/models/ml_model.py:74, in MLModel.fetch(cls, model_id, api_key, profile) 57 """Fetches a :class:MLModel instance by id. 58 59 Parameters (...) 71 model : MLModel 72 """ 73 d = client.get_model_by_id(model_id, api_key=api_key, profile=profile) ---> 74 return cls.from_dict(d, api_key=api_key, profile=profile)

File ~/miniconda3/envs/deep-learning/lib/python3.9/site-packages/radiant_mlhub/models/ml_model.py:113, in MLModel.from_dict(cls, d, href, root, migrate, preserve_dict, api_key, profile) 99 @classmethod 100 def from_dict( 101 cls, (...) 109 profile: Optional[str] = None 110 ) -> MLModel: 111 """Patches the :meth:pystac.Item.from_dict method so that it returns the calling 112 class instead of always returning a :class:pystac.Item instance.""" ... 477 ) 479 has_self_link = False 480 for link in links:

TypeError: init() got an unexpected keyword argument 'assets'