Savasy
Rank:Average Model Cost: $0.0000
Number of Runs: 91,625
Models by this creator
bert-base-turkish-sentiment-cased
$-/run
89.9K
Huggingface
bert-base-turkish-squad
$-/run
699
Huggingface
bert-base-turkish-ner-cased
$-/run
584
Huggingface
bert-turkish-text-classification
$-/run
349
Huggingface
bert-turkish-uncased-qnli
$-/run
29
Huggingface
mt5-mlsum-turkish-summarization
$-/run
23
Huggingface
offLangDetectionTurkish
$-/run
21
Huggingface
mt0-large-Turkish-qa
mt0-large-Turkish-qa
Turkish Question Answering model based on mt0-large In this model, I fine-tuned mT0-large model with the following Turkish QA datasets where the training set size is around 11K QAs. https://huggingface.co/bigscience/mt0-large https://github.com/okanvk/Turkish-Reading-Comprehension-Question-Answering-Dataset The model is tuned within one of parameter-efficient fine-tuning techniques, which is PEFT LORA. So we need to install peft modules. Please check https://github.com/huggingface/peft FOR INFERENCE We first install the requirements : SINGLE INFERENCE BATCH INFERENCE The usage for batch mode is as follows: In the end, you can compare preds (predictions) with your expected ground-truth results. You can use many metrics for this such as BLEU, ROUGE, Exact Match, Partial Match
$-/run
0
Huggingface