Instructions to use ComCom/gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ComCom/gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ComCom/gpt2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ComCom/gpt2") model = AutoModel.from_pretrained("ComCom/gpt2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ComCom/gpt2: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
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https://huggingface.co/ComCom/gpt2/resolve/main/README.md
- Command line
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hf download hf://ComCom/gpt2/README.md
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curl -L -o README.md https://huggingface.co/ComCom/gpt2/resolve/main/README.md
198 Bytes
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