Model Card for Avsi1702/fine-tuned-t5-small

Model Description

This model, Avsi1702/fine-tuned-t5-small, is a fine-tuned version of T5-small for handling car-related queries. It provides answers and recommendations related to car maintenance, troubleshooting, and general automotive information.

Intended Use

• Primary Use: Answering and providing solutions to car-related queries.
• Secondary Use: Offering car maintenance advice and troubleshooting tips.

Model Details

• Architecture: T5-small
• Base Model: t5-small
• Fine-Tuning Dataset: Fine-tuned on a dataset of car-related queries and responses.
• Company: Ascent Technosystem
• License: [Specify the license, e.g., MIT, Apache 2.0]

Limitations

• The model is specialized for car-related topics and may not perform well on unrelated queries.
• Performance can vary based on the specificity and context of the queries.

Ethical Considerations

• Use the model in accordance with ethical guidelines for responsible AI.
• Be aware of potential biases in the responses.

How to Use

1. Install Dependencies: Make sure you have the required libraries installed (e.g., transformers).

2. Load the Model:

   from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
   
   model = AutoModelForSeq2SeqLM.from_pretrained("Avsi1702/fine-tuned-t5-small")
   tokenizer = AutoTokenizer.from_pretrained("Avsi1702/fine-tuned-t5-small")
   

3. Make Predictions:

   input_text = "Your car-related question here"
   inputs = tokenizer(input_text, return_tensors="pt")
   outputs = model.generate(**inputs)
   answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
   print(answer)
   

Citation

If you use this model in your research or application, please cite it as follows: