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:
- 731bf19cb46e1d97902bce0f524e47477e35d13326ca8848f854debb6eb08f44
- Size of remote file:
- 3.31 kB
- SHA256:
- c59ab2020cb9ae4081cab81f1f6fa401277a18ab86b53976ac1119ff01e1672e
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