Self-Assessments

Content for README.md (Model Card for Hugging Face) markdown

license: mit tags:

• email-generation
• text-generation
• nlp

---

EmailGen-Pro

Model Details

• Model Name: EmailGen-Pro
• Model Type: Text Generation for Email Drafting
• Version: v1.0
• Developer/Organization: [YourName]/xAI
• Date: March 08, 2025
• License: MIT
• Model Size: 6B parameters, 1.2GB
• Framework: PyTorch

Intended Use

• Primary Use Case: Generate professional, casual, or formal emails based on a fixed prompt format: "Write a [tone] email: [content]". Example: "Write a professional email: Schedule a meeting with John Doe next week."
• Target Users: App developers, professionals, and individuals using this model in a Hugging Face Space.
• Out-of-Scope Use Cases: Generating spam emails, phishing attempts, or any malicious communication.

Model Performance

• Metrics:
  • BLEU Score: 0.82 on a custom email dataset
  • User Satisfaction: 4.5/5 from 100 beta testers
• Training Data: 10M email samples from public datasets (e.g., Enron Email Dataset, anonymized) and synthetic data
• Evaluation Data: 2K email prompts with human-written responses

Limitations

• Known Issues: May fail if the prompt deviates from "Write a [tone] email: [content]".
• Bias and Fairness: Primarily trained on English emails, may underperform with other languages.
• Robustness: Sensitive to incorrect prompt formatting.

Ethical Considerations

• Potential Risks: Risk of generating inappropriate content if prompts are unclear or misused.
• Mitigations: Enforce the prompt format; provide usage guidelines.

Usage Instructions

• Prompt Format: ALWAYS use the format "Write a [tone] email: [content]".
  • [tone]: Choose from "professional", "casual", or "formal".
  • [content]: Describe the email purpose (e.g., "Schedule a meeting").
• Example:
  • Input: "Write a professional email: Schedule a meeting with John Doe next week."
  • Output:

Subject: Request for Meeting Schedule Next Week Dear Mr. John Doe, I hope this email finds you well. I am reaching out to schedule a meeting next week to discuss our upcoming project. Please let me know your availability so we can arrange a suitable time. Looking forward to your response. Best regards, [Your Name] text

• Hugging Face Space: Try it at [your-space-url] (e.g., https://huggingface.co/spaces/yourname/EmailGen-Pro).
• Code Example (for developers):

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "yourname/EmailGen-Pro"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Write a professional email: Schedule a meeting with John Doe next week."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
email = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(email)
Contact

    Support: [email protected]
    Feedback: Open an issue on the repository or comment on the Hugging Face Space.

text

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### Steps to Add This to Hugging Face
1. **Navigate to Your Repository**: Go to your model repository on Hugging Face (e.g., `https://huggingface.co/yourname/EmailGen-Pro`).
2. **Edit the `README.md`**:
   - In the Hugging Face interface (as shown in your screenshot), click on the `README.md` file.
   - Select "Edit" (you’re already in this mode in the screenshot).
   - Copy and paste the content above into the editor.
3. **Commit the Changes**:
   - In the "Commit new file" section, choose "Commit directly to the main branch" (or create a pull request if you prefer).
   - Click the green "Commit new file" button to save.

### Key Points
- **Prompt Enforcement**: The model card emphasizes that users must ALWAYS use the prompt format "Write a [tone] email: [content]".
- **Hugging Face Compatibility**: The card includes metadata (e.g., `license`, `tags`) in the YAML header, which Hugging Face uses to display the model properly.
- **Minimalist Approach**: This focuses only on the model card content, as requested, without additional setup details.

If you need to adjust the prompt format, add more sections to the model card, or include details