Instructions to use Rocketknight1/tiny-random-gpt2-bfloat16-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rocketknight1/tiny-random-gpt2-bfloat16-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Rocketknight1/tiny-random-gpt2-bfloat16-pt")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Rocketknight1/tiny-random-gpt2-bfloat16-pt") model = AutoModel.from_pretrained("Rocketknight1/tiny-random-gpt2-bfloat16-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb4a87da0d27f19024e9ce28bd0a73a40a469f01d631973942dd54d9bbe50510
- Size of remote file:
- 96.9 kB
- SHA256:
- e2cdb08f0a9ad5a0dc7a386756a7a58a87ea8a3fb81c6210f67f3d7047940f2a
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