Total runs:
327
Run Growth:
-8
Growth Rate:
-2.29%
Sponsored by
ThumbnailCreator.com
Etherll / Tashkeel-700M
Model's Last Updated: August 22 2025
text-generation
Introduction of Tashkeel-700M
Model Details of Tashkeel-700M
Tashkeel-700M
Arabic Diacritization Model | نَمُوذِجٌ تَشْكِيلُ النُّصُوصِ الْعَرَبِيَّةِ
نموذج بحجم 700 مليون بارامتر مخصص لتشكيل النصوص العربية. تم تدريب هذا النموذج بضبط نموذج
LiquidAI/LFM2-700M
على مجموعة البيانات
arbml/tashkeela
.
- النموذج الأساسي: LiquidAI/LFM2-700M
- مجموعة البيانات: arbml/tashkeela
كيفية الاستخدام
from transformers import AutoModelForCausalLM, AutoTokenizer
#تحميل النموذج
model_id = "Etherll/Tashkeel-700M"
model = AutoModelForCausalLM.from_pretrained(
model_id,
device_map="auto",
torch_dtype="bfloat16",
)
tokenizer = AutoTokenizer.from_pretrained(model_id)
# إضافة التشكيل
prompt = "السلام عليكم"
input_ids = tokenizer.apply_chat_template(
[{"role": "user", "content": prompt}],
add_generation_prompt=True,
return_tensors="pt",
tokenize=True,
).to(model.device)
output = model.generate(
input_ids,
do_sample=False,
)
print(tokenizer.decode(output[0, input_ids.shape[-1]:], skip_special_tokens=True))
مثال
-
النص المدخل:
السلام عليكم -
الناتج:
السَّلَامُ عَلَيْكُمْ
Tashkeel-700M (English)
A 700M parameter model for Arabic diacritization (Tashkeel). This model is a fine-tune of
LiquidAI/LFM2-700M
on the
arbml/tashkeela
dataset.
- Base Model: LiquidAI/LFM2-700M
- Dataset: arbml/tashkeela
How to Use
The Python code for usage is the same as listed in the Arabic section above.
Example
-
Input:
السلام عليكم -
Output:
السَّلَامُ عَلَيْكُمْ
This lfm2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Runs of Etherll Tashkeel-700M on huggingface.co
98
Total runs
-1
24-hour runs
-16
3-day runs
-36
7-day runs
-139
30-day runs
More Information About Tashkeel-700M huggingface.co Model
Url of Tashkeel-700M
Tashkeel-700M huggingface.co Url
Provider of Tashkeel-700M huggingface.co
Other API from Etherll
Updated:May 11 2025
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