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/train.csv from BashkirNLPWorld/bashkir-nlp-benchmark: direct link, hf CLI and curl.
- Browser
- Download file 47.5 MB
-
https://huggingface.co/BashkirNLPWorld/bashkir-nlp-benchmark/resolve/main/splits/binary/train.csv
- Command line
-
hf download hf://BashkirNLPWorld/bashkir-nlp-benchmark/splits/binary/train.csv
-
curl -L -o train.csv https://huggingface.co/BashkirNLPWorld/bashkir-nlp-benchmark/resolve/main/splits/binary/train.csv
47.5 MB
- Xet hash:
- 227b3b1a5921ff51713109a9041aa401c4404a8d258dde5df0c16941dfb338b8
- Size of remote file:
- 47.5 MB
- SHA256:
- 78685bb6bbe07a950fe97cfe25e32b46104f7bdb9db87034c50b9241c4d09b73
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