Instructions to use exdysa/tiny-random-gpt2-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use exdysa/tiny-random-gpt2-bfloat16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="exdysa/tiny-random-gpt2-bfloat16")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("exdysa/tiny-random-gpt2-bfloat16") model = AutoModel.from_pretrained("exdysa/tiny-random-gpt2-bfloat16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| tags: | |
| - wee | |
| - bebe | |
| - tiny | |
| - lil | |
| base_model: | |
| - Rocketknight1/tiny-random-gpt2-bfloat16 | |
| > [!IMPORTANT] | |
| > Original model :Rocketknight1/tiny-random-gpt2-bfloat16](https://huggingface.co/Rocketknight1/tiny-random-gpt2-bfloat16) | |
| > [!NOTE] | |
| > smol, for testing |