Update README.md

README.md

@@ -1,26 +1,26 @@
----
-license: afl-3.0
-language: uk
----
-## GPT2 being trained on Ukrainian news.
-
-### General info:
-The model is not ready yet, but I'm working on it. It also has a relatively small context window, which makes it quite uninteresting.
-
-### Example of usage:
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-tokenizer = AutoTokenizer.from_pretrained("kyryl0s/gpt2-uk-xxs")
-model = AutoModelForCausalLM.from_pretrained("kyryl0s/gpt2-uk-xxs")
-input_ids = tokenizer.encode("Путін — ", add_special_tokens=False, return_tensors='pt')
-outputs = model.generate(
-    input_ids,
-    do_sample=True,
-    num_return_sequences=3,
-    max_length=50
-)
-for i, out in enumerate(outputs):
-    print("{}: {}".format(i, tokenizer.decode(out)))
-    
+---
+license: afl-3.0
+language: uk
+---
+## GPT2 being trained on Ukrainian news.
+
+### General info:
+The model is not ready yet but I'm working on it. It also has a relatively small context window, which makes it quite uninteresting.
+
+### Example of usage:
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("kyryl0s/gpt2-uk-xxs")
+model = AutoModelForCausalLM.from_pretrained("kyryl0s/gpt2-uk-xxs")
+input_ids = tokenizer.encode("Путін — ", add_special_tokens=False, return_tensors='pt')
+outputs = model.generate(
+    input_ids,
+    do_sample=True,
+    num_return_sequences=3,
+    max_length=50
+)
+for i, out in enumerate(outputs):
+    print("{}: {}".format(i, tokenizer.decode(out)))
+    
 ```