Instructions to use Neurona/cpegen_vend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neurona/cpegen_vend with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Neurona/cpegen_vend")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Neurona/cpegen_vend") model = AutoModelForTokenClassification.from_pretrained("Neurona/cpegen_vend", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Delete training_args.bin
Verified signaturea197dae -
Delete model.safetensors
Verified signature412a95b -
Upload folder using huggingface_hub
Verified signatureeece70b -
Upload folder using huggingface_hub
Verified signature908d705
-
Upload folder using huggingface_hub
Verified signatureb30a45d
-
Upload folder using huggingface_hub
Verified signaturefd6c278 -
Upload DistilBertForTokenClassification
Verified signature33c3fb6 -
initial commit
Verified signaturecb60e7c