Instructions to use candra/punctuatorid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use candra/punctuatorid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="candra/punctuatorid")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("candra/punctuatorid") model = AutoModelForTokenClassification.from_pretrained("candra/punctuatorid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83d65ac44188faa0502f311b8fe0af67642d9551af501e685bfcb81837dfce19
- Size of remote file:
- 440 MB
- SHA256:
- a8d4820522b83b20040ffb77dc13caef2994bc3095a82b441a62521dc79d2d8c
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