How to use model with torch:


# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_name)

# Load the model
model = AutoModel.from_pretrained(model_name)

How to use it on example text:

# Example input
text = "Hello, how are you?"

# Tokenize the input
inputs = tokenizer(text, return_tensors="pt")

# Forward pass through the model
outputs = model(**inputs)

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Safetensors

Model size

110M params

Tensor type

F32

Inference Providers NEW

Text Classification

This model is not currently available via any of the supported Inference Providers.

The model cannot be deployed to the HF Inference API: The model has no library tag.