Long Context Pretrained Text Encoder For Turkish Language
This is a Turkish Base uncased ModernBERT model. Since this model is uncased: it does not make a difference between turkish and Turkish.
âš Uncased use requires manual lowercase conversion
Don't use the do_lower_case = True
flag with the tokenizer. Instead, convert your text to lower case as follows:
text.replace("I", "ı").lower()
This is due to a known issue with the tokenizer.
Be aware that this model may exhibit biased predictions as it was trained primarily on crawled data, which inherently can contain various biases.
Example Usage
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained(
"99eren99/ModernBERT-base-Turkish-uncased-mlm", do_lower_case=False
)
#tokenizer.truncation_side = "right"
model = AutoModelForMaskedLM.from_pretrained(
"99eren99/ModernBERT-base-Turkish-uncased-mlm", torch_dtype="auto"
)
model.eval()
# model.to("cuda")
Evaluations
-Mask Prediction Top 1 Accuracies (you can find eval scripts in "./assets" folder):
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Model tree for 99eren99/ModernBERT-base-Turkish-uncased-mlm
Base model
answerdotai/ModernBERT-base