Update README.md

README.md

@@ -1,3 +1,71 @@
 ---
+language: he
+
+widget:
+- text: "האיש האחרון עלי אדמות ישב לבד בחדרו כשלפתע נשמעה נקישה"
+- text: "שם היצירה: "
+- text: "\n\n שם היצירה:"
+- text: "\n\n\n"
+
 license: mit
 ---
+
+# Hebrew-GPT2-345M-Stage
+
+An undertrained GPT2 based Hebrew text generation model which I slightly trained at 2020 on text from "Bama Hadasha" ("במה חדשה")
+
+## Dataset
+
+### Around 10% of [stage.co.il ](http://stage.co.il/)
+
+
+#### Simple usage sample code
+
+```python
+
+
+import os
+os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
+
+from transformers import pipeline, set_seed
+import random
+
+model_id = "Norod78/Hebrew-GPT2-345M-Stage"
+text_generator = pipeline('text-generation', model=model_id, tokenizer=model_id, device_map="auto")
+max_length = 256
+top_k = 70
+top_p = 0.92
+temperature = 1.0
+max_seed = (2**32)-1
+global_seed = random.randint(0, max_seed)
+
+def text_generation(input_text = ''):
+    global global_seed
+    global_seed = global_seed + 1
+    if global_seed >= max_seed:
+        global_seed = 0
+    if input_text == None or len(input_text) == 0:
+        input_text = "\n"
+    set_seed(global_seed)
+    generated_text = text_generator(input_text,
+    max_length=max_length,
+    top_k=top_k, 
+    top_p=top_p,    
+    temperature=temperature,
+    do_sample=True,
+    repetition_penalty=1.4,
+    num_return_sequences=1)
+    parsed_text = generated_text[0]["generated_text"].replace("<|startoftext|>", "").replace("\r","").replace("\n\n", "\n").replace("\t", " ").replace("<|pad|>", " * ").replace("\"\"", "\"").strip()
+    #print("parsed_text = \"" + parsed_text + "\" (seed = " + str(global_seed) + ")")
+    return parsed_text
+
+def main():
+    prompt_prefix = "\n\n שם היצירה: "
+    prompt_text = prompt_prefix + "חגבים ירוקים מקפצים בשדה"
+    result = text_generation(input_text=prompt_text)
+    print("result : \n" + str(result))
+
+if __name__ == '__main__':
+    main()
+```
+