Token Classification
Transformers
Safetensors
Malagasy
xlm-roberta
punctuation-restoration
truecasing
malagasy
asr-postprocessing
Instructions to use Flo976/malagasy-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Flo976/malagasy-punctuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Flo976/malagasy-punctuation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Flo976/malagasy-punctuation") model = AutoModelForTokenClassification.from_pretrained("Flo976/malagasy-punctuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Flo976/malagasy-punctuation: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Flo976/malagasy-punctuation/resolve/main/tokenizer.json
- Command line
-
hf download hf://Flo976/malagasy-punctuation/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Flo976/malagasy-punctuation/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- b8e241e404a10d5495cc933310aabbd4de2845f68b22897c23bfc5198dde2af1
- Size of remote file:
- 17.1 MB
- SHA256:
- 883b037111086fd4dfebbbc9b7cee11e1517b5e0c0514879478661440f137085
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