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
File size: 289 Bytes
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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 |