Update README.md

README.md

@@ -1,3 +1,46 @@
+---
+tags:
+- transformers
+- text-classification
+- text-embedding
+- tinybert
+license: apache-2.0
+library_name: transformers
+widget:
+  - text: "Encode this text using TinyBERT"
+---
+
+# 🚀 TinyBERT Encoder Model
+
+This is a fine-tuned **TinyBERT Encoder** model, optimized for lightweight NLP tasks.
+
+## 🔹 Use This Model
+
+To use this model with **transformers**, simply run:
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model_name = "hjsgfd/my_tinybert_encoder"  # Replace with your actual repo name
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModel.from_pretrained(model_name)
+
+# Encode text
+text = "TinyBERT is small but powerful."
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model(**inputs)
+
+print(outputs.last_hidden_state)  # Encoded text representation
+
+
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer("hjsgfd/my_tinybert_encoder")
+embeddings = model.encode("This is an example sentence.")
+print(embeddings)
+---
+
+
 # TinyBERT Encoder Model
 
 This is a fine-tuned **TinyBERT Encoder** model optimized for lightweight NLP tasks.