Update README.md

README.md

@@ -1,18 +1,3 @@
----
-language:
-- sd
-license: mit
-tags:
-- sindhi
-- bert
-- masked-language-modeling
-- from-scratch
----
-
-# Sindhi-BERT-base
-
-First BERT-style model trained from scratch on Sindhi text.
-
 # Sindhi-BERT-base
 
 The first BERT-style language model trained **from scratch** on Sindhi text, using a custom Sindhi BPE tokenizer with 32,000 pure Sindhi tokens.
@@ -268,21 +253,4 @@ fill_mask('سنڌي [MASK] دنيا جي قديم ٻولين مان ھڪ آھي'
 
 ## About
 
-This model is part of a larger effort to build complete NLP tools for the Sindhi language — one of the oldest languages in the world with over 30 million speakers across Pakistan and India.
-
-The corpus was carefully cleaned using a custom pipeline including Unicode normalization, script standardization, he-character normalization (ھ/ه/ہ), and word-level corrections using a 9,355-entry Sindhi dictionary.
-
-## Usage
-
-```python
-from transformers import AutoModelForMaskedLM
-import sentencepiece as spm, torch
-import torch.nn.functional as F
-from huggingface_hub import hf_hub_download
-
-model   = AutoModelForMaskedLM.from_pretrained("hellosindh/sindhi-bert-base")
-sp_path = hf_hub_download("hellosindh/sindhi-bert-base", "sindhi_bpe_32k.model")
-sp      = spm.SentencePieceProcessor()
-sp.Load(sp_path)
-MASK_ID = 32000
-```
+The corpus was carefully cleaned using a custom pipeline including Unicode normalization, script standardization, he-character normalization (ھ/ه/ہ), and word-level corrections using a 9,355-entry Sindhi dictionary.