I am working with PyTorch and the Hugging Face Transformers library to fine-tune a BERT model (UFNLP/gatortron-base) for a downstream task. I encountered issue:

NumPy Initialization Warning: Upon running my code, I received a warning related to NumPy initialization:
C:UsersuserAppDataLocalProgramsPythonPython312Libsite-packagestorchstorage.py:321: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ..torchcsrcutilstensor_numpy.cpp:84.)

I am trying to running the

type himport torch
from transformers import BertTokenizer, BertModel

tokenizer = BertTokenizer.from_pretrained('UFNLP/gatortron-base')
model = BertModel.from_pretrained('UFNLP/gatortron-base')

model.eval()

def prepare_input(text):
    tokens = tokenizer.encode_plus(text, return_tensors='pt', add_special_tokens=True, max_length=512, truncation=True)
    return tokens['input_ids'], tokens['attention_mask']

def get_response(input_ids, attention_mask):        
    with torch.no_grad():
        outputs = model(input_ids=input_ids, attention_mask=attention_mask)
        if 'logits' in outputs:
           predictions = torch.argmax(outputs['logits'], dim=-1)
        else:
         # Adjust this based on the actual structure of `outputs`
            predictions = torch.argmax(outputs[0], dim=-1) 

    #     predictions = torch.argmax(outputs.logits, dim=-1)
        return tokenizer.decode(predictions[0], skip_special_tokens=True)

input_text = "Hello, how are you?"
input_ids, attention_mask = prepare_input(input_text)
response = get_response(input_ids, attention_mask)
print("Response from the model:", response)ere