Update README.md

README.md

@@ -1,6 +1,34 @@
 ---
-language: ur
-license: mit
+
+language: 
+    - "ur"
+license: "mit"
 datasets:
-- urdu-news-dataset 
----
+   - "Urdu-news-dataset"
+   
+---
+
+
+# GPT-2
+
+
+Pretrained model on Urdu news la using a causal language modeling (CLM) objective.
+
+### How to use
+
+You can use this model directly with a pipeline for text generation. Since the generation relies on some randomness, we
+set a seed for reproducibility:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("Imran1/gpt2-urdu-news")
+
+model = AutoModelForCausalLM.from_pretrained("Imran1/gpt2-urdu-news")
+```
+## Training data
+I fine tune gpt2 for downstream task like text generation, only for 1000 sample so it may not be good so. Due to resources limitation.
+
+
+## Evaluation results
+training loss 3.042