metadata
license: mit
datasets:
- Intel/orca_dpo_pairs
language:
- en
pipeline_tag: text-generation
Sure, here's an elaborate and cool-looking markdown model card for your Hugging Face model:
# Go Bruins - A Fine-tuned Language Model
## Overview
**Go Bruins** is a state-of-the-art language model fine-tuned on the Q-bert/MetaMath-Cybertron-Starling architecture. It's designed to push the boundaries of NLP applications, offering unparalleled performance in generating human-like text.
## Model Details
- **Developer:** Ryan Witzman
- **Base Model:** Q-bert/MetaMath-Cybertron-Starling
- **Fine-tuning Method:** Direct Preference Optimization (DPO)
- **Training Steps:** 200
- **Language:** English
- **License:** MIT
## Capabilities
Go Bruins excels in a variety of NLP tasks, including but not limited to:
- Text generation
- Language understanding
- Sentiment analysis
## Usage
**Warning:** This model may output NSFW or illegal content. Use with caution and at your own risk.
### For Direct Use:
```python
from transformers import pipeline
model_name = "rwitz/go-bruins"
inference_pipeline = pipeline('text-generation', model=model_name)
input_text = "Your input text goes here"
output = inference_pipeline(input_text)
print(output)
Not Recommended For:
- Illegal activities
- Harassment
- Professional advice or crisis situations
Training and Evaluation
Trained on a dataset from Intel/orca_dpo_pairs, Go Bruins has shown promising improvements over its predecessor, Q-Bert.
Contact
For any inquiries or feedback, reach out to Ryan Witzman on Discord: rwitz_.
This model card was created with care by Ryan Witzman.
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