Instructions to use ComCom/gpt2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ComCom/gpt2-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ComCom/gpt2-medium")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ComCom/gpt2-medium") model = AutoModel.from_pretrained("ComCom/gpt2-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5063b4e9b241709c87f01243b33689254e2ac974e030bc09d3a2ef3c5d882de8
- Size of remote file:
- 1.44 GB
- SHA256:
- 09fa59f5990d6767ee006f73f642a90e76b7112e62e39f0523f2db31cbcbadab
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