Instructions to use LuminAISecurity/games_codeparrot-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LuminAISecurity/games_codeparrot-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LuminAISecurity/games_codeparrot-small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LuminAISecurity/games_codeparrot-small") model = AutoModelForSequenceClassification.from_pretrained("LuminAISecurity/games_codeparrot-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e00b8c93f2b2a1631a7a7173173a1f200209aab3ae4202b2be6d88b079217ce
- Size of remote file:
- 444 MB
- SHA256:
- 1ad1041d372acc00392923cf9f28260cbef4692730c4ab49f0d0b42e2786eed7
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