BERT मॉडल का मूल्यांकन

text = "I had an awesome day!"

# Tokenize the text and return PyTorch tensors
input_eval = tokenizer(____, return_tensors=____, truncation=True, padding=True, max_length=32)
outputs_eval = model(**input_eval)

# Convert the output logits to probabilities
predictions = torch.nn.functional.____(outputs_eval.____, dim=-1)

# Display the sentiments
predicted_label = ____ if torch.____(predictions) > 0 else ____
print(f"Text: {text}\nSentiment: {predicted_label}")