Here's a simple example using Python and the Hugging Face Transformers library for creating a deep feature from text:
Despite these challenges, many young mothers show incredible resilience and strength. Here are a few ways they can be empowered: Here's a simple example using Python and the
:
def get_deep_feature(text): inputs = tokenizer(text, return_tensors="pt") outputs = model(**inputs) # For many models, the last hidden state can be used as a feature deep_feature = outputs.last_hidden_state[:, 0, :] return deep_feature.detach().numpy() :] return deep_feature.detach().numpy()
Here's a simple example using Python and the Hugging Face Transformers library for creating a deep feature from text:
Despite these challenges, many young mothers show incredible resilience and strength. Here are a few ways they can be empowered:
:
def get_deep_feature(text): inputs = tokenizer(text, return_tensors="pt") outputs = model(**inputs) # For many models, the last hidden state can be used as a feature deep_feature = outputs.last_hidden_state[:, 0, :] return deep_feature.detach().numpy()