Instructions to use Neurona/cpegen_vp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neurona/cpegen_vp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Neurona/cpegen_vp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Neurona/cpegen_vp") model = AutoModelForTokenClassification.from_pretrained("Neurona/cpegen_vp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7961577f4ffd96af91cf0944eb63b774c2fcba2773c1edee36fa05b303c5226c
- Size of remote file:
- 266 MB
- SHA256:
- 4bee4d503c996ac64975747fe661ffe84e904d795b93f9484fc71d9073778959
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