ollama - 💡(How to fix) Fix Added support for the LongCat series of open-source models [1 comments, 2 participants]

Fix Plan

The fix involves updating the repository to ensure compatibility with the latest dependencies and resolving any potential configuration issues.

Steps to Fix

• Update the transformers library to the latest version:

pip install --upgrade transformers

• Verify the model configuration and update if necessary:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("meituan-longcat")
tokenizer = AutoTokenizer.from_pretrained("meituan-longcat")

# Check model configuration
print(model.config)

• If issues persist, try re-downloading the model and tokenizer:

model = AutoModelForSequenceClassification.from_pretrained("meituan-longcat", force_download=True)
tokenizer = AutoTokenizer.from_pretrained("meituan-longcat", force_download=True)

Verification

• Test the model with a sample input:

input_text = "This is a sample input"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model(**inputs)
print(outputs.logits)

If the model outputs are as expected, the fix has been successful.

Extra Tips

• Regularly update dependencies to ensure compatibility and security.
• Use the force_download parameter to re-download models and tokenizers if issues arise.