Update README.md

README.md

@@ -2,11 +2,45 @@
 license: mit
 tags:
 - biology
+- genomics
+- long-context
+library_name: transformers
 ---
+# DNAFlash
 
+## Abouts
 
 
+## How to use
+### Simple example: embedding
 
+```python
 
+import torch
+from transformers import AutoTokenizer, AutoModel
 
+# Load the tokenizer and model using the pretrained model name
+tokenizer = AutoTokenizer.from_pretrained("isyslab/DNAFlash")
+model = AutoModel.from_pretrained("isyslab/DNAFlash", trust_remote_code=True)
 
+
+# Define input sequences
+sequences = [
+    "GAATTCCATGAGGCTATAGAATAATCTAAGAGAAATATATATATATTGAAAAAAAAAAAAAAAAAAAAAAAGGGG"
+]
+
+# Tokenize the sequences
+inputs = tokenizer(
+    sequences,
+    add_special_tokens=True,
+    return_tensors="pt",
+    padding=True,
+    truncation=True
+)
+
+# Perform a forward pass through the model to obtain the outputs, including hidden states
+with torch.inference_mode():
+    outputs = model(**inputs, output_hidden_states=True)
+```
+
+## Citation