Instructions to use 3koozy/gpt2-HxH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3koozy/gpt2-HxH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="3koozy/gpt2-HxH")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("3koozy/gpt2-HxH") model = AutoModel.from_pretrained("3koozy/gpt2-HxH", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70d91fa96b29651d20edc2605e9d3acff1c65e6690b8e4bf2c69ed0326eeba7c
- Size of remote file:
- 510 MB
- SHA256:
- 637ed0d312d42ac6f7ad85048f4ca92478479637066ecf6c40cda0e8386ff4a3
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