Gpt2 Medium Emailgen by postbot

 ยป  All LLMs  ยป  postbot  ยป  Gpt2 Medium Emailgen   URL Share it on

  Autotrain compatible   Dataset:aeslc Dataset:postbot/multi-emails-1...   Email   Email generation   Emailgen   Endpoints compatible   Gpt2   Onnx   Pytorch   Region:us   Safetensors

Gpt2 Medium Emailgen Benchmarks

Gpt2 Medium Emailgen (postbot/gpt2-medium-emailgen)

Gpt2 Medium Emailgen Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation, email generation
Applications:
newsletter email automation, office correspondence, event invitations
Primary Use Cases:
Predictable email drafting
Limitations:
Not intended to write emails without human oversight
Considerations:
Check emails for factual correctness before sending.
Additional Notes 
Fine-tuned for efficient email generation with significant reduction in drafting time.
Supported Languages 
English (high)
Training Details 
Data Sources:
aeslc, postbot/multi-emails-100k
Data Volume:
100k examples
Methodology:
fine-tuning
Hardware Used:
multi-GPU
Model Architecture:
GPT-2
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Generated email text
Release Notes 
Version:
1.0
Notes:
Initial fine-tuning on email data.
LLM NameGpt2 Medium Emailgen
Repository ๐Ÿค—https://huggingface.co/postbot/gpt2-medium-emailgen 
Model Size380m
Required VRAM1.4 GB
Updated2025-02-05
Maintainerpostbot
Model Typegpt2
Model Files  1.4 GB   1.4 GB   0.0 GB
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.22.2
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

Best Alternatives to Gpt2 Medium Emailgen

Best Alternatives
Context / RAM
Downloads
Likes
Gpt2 Medium0K / 1.5 GB311167166

Rank the Gpt2 Medium Emailgen Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 42625 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227