Has anyone used HuggingFaceInferenceAPIEmbedding module from llamaindex?
I am running into issue where embedding returned by model is in not in the expecteed format what llamaindex is expecting.
I am using CODE-BERT model and using task as sentence embedding
Would love to get some guindance if possible.
CODE:
embed_model = HuggingFaceInferenceAPIEmbedding(
model_name='https://*******.us-east-1.aws.endpoints.huggingface.cloud',
token='*******'
)
text_embedding = embed_model.get_text_embedding("Your text here")
print(text_embedding)
emebding format what model is returning
response: b'{"embeddings":[0.02895120158791542,0.4713986814022064,0.41316112875938416,0.2680184543132782,0.4315677583217621 ,...........]
Error:
TypeError: float() argument must be a string or a real number, not 'dict'
