Update README.md

README.md

@@ -1,3 +1,39 @@
----
-license: mit
----
+---
+license: mit
+---
+how to use this shit :
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+repo_id = "iko-01/iko_im3"
+
+# بدل REPO_BASE باللي درّبت عليه أول مرة (مثلاً gpt2 أو iko-01/iko-v5e-1)
+base_repo = "iko-01/iko-v5e-1"  
+
+tokenizer = AutoTokenizer.from_pretrained(base_repo)
+model = AutoModelForCausalLM.from_pretrained(repo_id)
+model.to("cpu")
+
+def ask_model(question, max_new_tokens=1000):
+    prompt = f"### User:\n{question.strip()}\n\n### Assistant:\n"
+    inputs = tokenizer(prompt, return_tensors="pt", truncation=True, padding=True, max_length=1024)
+    with torch.no_grad():
+        gen = model.generate(
+            inputs.input_ids,
+            attention_mask=inputs.attention_mask,
+            max_new_tokens=max_new_tokens,
+            do_sample=True,
+            top_p=0.95,
+            temperature=0.9,
+            pad_token_id=tokenizer.pad_token_id,
+            eos_token_id=tokenizer.eos_token_id,
+        )
+    out = tokenizer.decode(gen[0], skip_special_tokens=True)
+    if "### Assistant:" in out:
+        return out.split("### Assistant:")[-1].strip()
+    return out
+
+print(ask_model("what is API"))
+```
+