Update README.md

README.md

@@ -110,7 +110,7 @@ Using the `pipeline`:
 ```python
 from transformers import pipeline
 
-generator = pipeline("text-generation", model="nicholasKluge/Teeny-tiny-llama-160m")
+generator = pipeline("text-generation", model="nicholasKluge/TeenyTinyLlama-160m")
 
 completions  = generator("Astronomia é a ciência", num_return_sequences=2, max_new_tokens=100)
 
@@ -125,8 +125,8 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
 # Load model and the tokenizer
-tokenizer = AutoTokenizer.from_pretrained("nicholasKluge/Teeny-tiny-llama-160m", revision='main')
-model = AutoModelForCausalLM.from_pretrained("nicholasKluge/Teeny-tiny-llama-160m", revision='main')
+tokenizer = AutoTokenizer.from_pretrained("nicholasKluge/TeenyTinyLlama-160m", revision='main')
+model = AutoModelForCausalLM.from_pretrained("nicholasKluge/TeenyTinyLlama-160m", revision='main')
 
 # Pass the model to your device
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")