uladana/tiny-shakespeare-transformer
0
language: en license: mit tags:
- pytorch
- transformer
- text-generation ---
tiny-shakespeare-transformer
Kleines Transformer-Sprachmodell trainiert auf Shakespeare-Texten
Modell-Details
- Architektur: TransformerDecoder
- Parameter: 28,958,545
- Schichten: 3
- Dimensionen: 256
- Attention-Heads: 4
- Trainings-Epochen: 4
- Bester Validierungs-Loss: 10.6332
Verwendung
from transformers import GPT2Tokenizer
import torch
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
model = LanguageModel() # Usar la misma arquitectura
model.load_state_dict(torch.load("pytorch_model.bin"))
prompt = "ROMEO:"
generated = generate_text(model, tokenizer, prompt)
print(generated)