Update README.md

README.md

@@ -6,7 +6,7 @@ library_name: transformers
 # Mamba
 
 <!-- Provide a quick summary of what the model is/does. -->
-This repository contains the `transfromers` compatible `mamba-2.8b`. The checkpoints are untouched, but the full `config.json` and tokenizer are pushed to this repo. 
+This repository contains the `transfromers` compatible `mamba`. The checkpoints are untouched, but the full `config.json` and tokenizer are pushed to this repo. 
 
 # Usage
 
@@ -30,8 +30,8 @@ You can use the classic `generate` API:
 >>> from transformers import MambaConfig, MambaForCausalLM, AutoTokenizer
 >>> import torch
 
->>> tokenizer = AutoTokenizer.from_pretrained("state-spaces/mamba-2.8b-hf")
->>> model = MambaForCausalLM.from_pretrained("state-spaces/mamba-2.8b-hf")
+>>> tokenizer = AutoTokenizer.from_pretrained("Jo1uck/mamba-11b-back")
+>>> model = MambaForCausalLM.from_pretrained("Jo1uck/mamba-11b-back")
 >>> input_ids = tokenizer("Hey how are you doing?", return_tensors="pt")["input_ids"]
 
 >>> out = model.generate(input_ids, max_new_tokens=10)