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
File size: 449 Bytes
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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 |