Instructions to use Pweenut/QazNLTK_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use Pweenut/QazNLTK_Model with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("Pweenut/QazNLTK_Model", "model.bin")) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Pweenut/QazNLTK_Model: direct link, hf CLI and curl.
- Browser
- Download file 197 Bytes
-
https://huggingface.co/Pweenut/QazNLTK_Model/resolve/main/README.md
- Command line
-
hf download hf://Pweenut/QazNLTK_Model/README.md
-
curl -L -o README.md https://huggingface.co/Pweenut/QazNLTK_Model/resolve/main/README.md
197 Bytes
metadata
license: mit
datasets:
- issai/KazNERD
language:
- kk
- en
metrics:
- accuracy
base_model:
- deepseek-ai/DeepSeek-R1
new_version: deepseek-ai/DeepSeek-R1
library_name: fasttext
tags:
- code