Instructions to use hf-internal-testing/tiny-random-OpenAIGPTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-OpenAIGPTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-OpenAIGPTModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-OpenAIGPTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-OpenAIGPTModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 27 Bytes
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"unk_token": "<unk>"
}
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