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pkailin2002/
gpt2-tuned

Name: gpt2-tuned
Availability: InStock

openai-community/gpt2

finetune

mit

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gpt2-tuned

Fine-tuned GPT-2 model on speech transcription data

Model Details

Base Model: gpt2
Fine-tuned from checkpoint: /home/klp65/rds/hpc-work/whisper-lm/train_gpt/results/checkpoint-37500
Language: English
Model Type: Causal Language Model

Usage

python

from transformers import GPT2LMHeadModel, GPT2Tokenizer

model = GPT2LMHeadModel.from_pretrained("pkailin2002/gpt2-tuned")
tokenizer = GPT2Tokenizer.from_pretrained("pkailin2002/gpt2-tuned")

# Generate text
input_text = "Your prompt here"
inputs = tokenizer.encode(input_text, return_tensors="pt")
outputs = model.generate(inputs, max_length=100, num_return_sequences=1, temperature=0.7)
generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(generated_text)

Training Details

This model was fine-tuned using the Hugging Face Transformers library.

Intended Use

This model is intended for research and educational purposes.

Limitations

Please be aware that language models can generate biased or inappropriate content. Use responsibly.