PEFT
Safetensors
Bashkir
bashkir
low-resource
agglutinative
qlora
cpt
llm-as-judge
classification
language-modeling
benchmark
Instructions to use BashkirNLPWorld/bashkir-nlp-benchmark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BashkirNLPWorld/bashkir-nlp-benchmark with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download splits/binary/class_distribution.json from BashkirNLPWorld/bashkir-nlp-benchmark: direct link, hf CLI and curl.
- Browser
- Download file 143 Bytes
-
https://huggingface.co/BashkirNLPWorld/bashkir-nlp-benchmark/resolve/main/splits/binary/class_distribution.json
- Command line
-
hf download hf://BashkirNLPWorld/bashkir-nlp-benchmark/splits/binary/class_distribution.json
-
curl -L -o class_distribution.json https://huggingface.co/BashkirNLPWorld/bashkir-nlp-benchmark/resolve/main/splits/binary/class_distribution.json
143 Bytes
| { | |
| "train": { | |
| "1": 6798, | |
| "0": 6797 | |
| }, | |
| "validation": { | |
| "0": 849, | |
| "1": 849 | |
| }, | |
| "test": { | |
| "0": 851, | |
| "1": 850 | |
| } | |
| } |