Unconditional Image Generation
Transformers
PyTorch
ONNX
gpt2
text-generation
text-generation-inference
Instructions to use jss4856/commavq-gpt2m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jss4856/commavq-gpt2m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jss4856/commavq-gpt2m") model = AutoModelForCausalLM.from_pretrained("jss4856/commavq-gpt2m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1c679bea3d8b3496d1da8d4643b59de8951638b2fb1d5ddddf51317bd437166
- Size of remote file:
- 119 MB
- SHA256:
- 9aefd8719991c1c503ad4266f8a45a2a33a042ccd4cbdfffe321c8d41f5ea183
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