Instructions to use dappyx/QazDistilbertFast-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dappyx/QazDistilbertFast-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dappyx/QazDistilbertFast-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: transformers
datasets:
- issai/kazqad
language:
- kk
Model Card for Model ID
Distilbert tokenizer trained on KazQAD
Model Details
Model Description
- Model type: DistilBERT
- Language(s) (NLP): Kazakh
Training Details
Training Data
https://github.com/IS2AI/KazQAD/
Environmental Impact
- Hardware Type: TPUv2
- Hours used: Less than a minute
- Cloud Provider: Google Colab