Instructions to use kktoto/tiny_kt_punctuator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/tiny_kt_punctuator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/tiny_kt_punctuator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/tiny_kt_punctuator") model = AutoModelForTokenClassification.from_pretrained("kktoto/tiny_kt_punctuator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kktoto/tiny_kt_punctuator: direct link, hf CLI and curl.
- Browser
- Download file 45.3 MB
-
https://huggingface.co/kktoto/tiny_kt_punctuator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kktoto/tiny_kt_punctuator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kktoto/tiny_kt_punctuator/resolve/main/pytorch_model.bin
45.3 MB
- Xet hash:
- 03b0587f8bfe19079cc9e2b75a361a14df5519e5613511f86acaa65eb0d55ef5
- Size of remote file:
- 45.3 MB
- SHA256:
- 98f0146e81af5a4ac95bf35c43590c3d7354f4f75958bf62dc821f7809389241
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