metadata
pipeline_tag: text-generation
library_name: transformers
language: en
license: mit
tags:
- text-generation
- gpt2
- distilgpt2
- smilyai
- sam-flash
Sam-flash-mini-v1
Sam-flash-mini-v1 is a compact and efficient text generation model fine-tuned from DistilGPT2 by Smilyai Labs. Designed for creative writing, storytelling, and rapid prototyping, this model offers a balance between performance and resource efficiency.
Model Details
- Base Model: DistilGPT2
- Architecture: GPT2
- Language: English
- License: MIT
- Developed by: Smilyai Labs
Try it out!
You can test this model in an interactive app:
Launch the Sam Flash Story Generator
Usage
You can easily load and use the model with the Hugging Face Transformers library:
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Smilyai-labs/Sam-flash-mini-v1")
model = AutoModelForCausalLM.from_pretrained("Smilyai-labs/Sam-flash-mini-v1")
input_text = "Once upon a time,"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))