Update README.md

README.md

@@ -33,6 +33,9 @@ datasets:
 
 
 ## Model description
+
+updated: 2024-04-10 20:06
+
 The gemma-portuguese-2b model is a portuguese model trained with the superset dataset with 250,000 instructions. 
 The model is mainly focused on text generation and instruction.
 The model was not trained on math and code tasks.
@@ -46,7 +49,7 @@ With this fine tuning for portuguese, you can adjust the model for a specific fi
 from transformers import AutoTokenizer, pipeline
 import torch
 
-model = "rhaymison/gemma-portuguese-2b-luana"
+model = "rhaymison/gemma-portuguese-luana-2b"
 
 tokenizer = AutoTokenizer.from_pretrained(model)
 pipeline = pipeline(
@@ -83,8 +86,8 @@ print(outputs[0]["generated_text"][len(prompt):].replace("model",""))
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer2 = AutoTokenizer.from_pretrained("rhaymison/gemma-portuguese-2b-luana)
-model2 = AutoModelForCausalLM.from_pretrained("rhaymison/gemma-portuguese-2b-luana", device_map={"":0})
+tokenizer2 = AutoTokenizer.from_pretrained("rhaymison/gemma-portuguese-luana-2b")
+model2 = AutoModelForCausalLM.from_pretrained("rhaymison/gemma-portuguese-luana-2b", device_map={"":0})
 tokenizer2.pad_token = tokenizer2.eos_token
 tokenizer2.add_eos_token = True
 tokenizer2.add_bos_token, tokenizer2.add_eos_token