YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Description: “A small GPT model (~1-2M parameters) trained on 10,000 TinyStories samples for text generation.”

Training Details: Dataset (TinyStories), model (2 layers, 128 hidden size, 4 heads), 3 epochs, trained on GTX 1650.

Example Usage: python

from transformers import AutoTokenizer, AutoModel

from mini_gpt import MiniGPT, MiniGPTConfig

AutoModel.register(MiniGPTConfig, MiniGPT)

model = MiniGPT.from_pretrained("abhishekpoddar/mini-gpt")

tokenizer = AutoTokenizer.from_pretrained("abhishekpoddar/mini-gpt")

inputs = tokenizer("Once upon a time", return_tensors="pt")

outputs = model.generate(inputs["input_ids"], max_length=50)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))


license: apache-2.0

Downloads last month
2
Safetensors
Model size
13.4M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support