Instructions to use ModelsLab/punctuate-indic-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelsLab/punctuate-indic-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ModelsLab/punctuate-indic-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ModelsLab/punctuate-indic-v1") model = AutoModelForTokenClassification.from_pretrained("ModelsLab/punctuate-indic-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 396fc8c0ee92f0dcde2222a972aa6aa7b04ead558c5cd43bf4ec85ddcd7364a7
- Size of remote file:
- 1.11 GB
- SHA256:
- 86d76a9c65208ef06663f5e5923ebff4fc366d9f59b947fcca3c950e653f5f78
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.