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

Model Description

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:
   python

   1from transformers import AutoModelForSeq2SeqLM, AutoTokenizer 2 3model = AutoModelForSeq2SeqLM.from_pretrained("Avsi1702/fine-tuned-t5-small") 4tokenizer = AutoTokenizer.from_pretrained("Avsi1702/fine-tuned-t5-small")
3. Make Predictions:
   python

   1input_text = "Your car-related question here" 2inputs = tokenizer(input_text, return_tensors="pt") 3outputs = model.generate(**inputs) 4answer = tokenizer.decode(outputs[0], skip_special_tokens=True) 5print(answer)

Citation