fix readme for this actual model

README.md

@@ -1,7 +1,7 @@
 ---
 license: mit
 datasets:
-- monsoon-nlp/greenbeing-proteins
+- monsoon-nlp/asknyc-chatassistant-format
 ---
 
 Adapter model / weights only for https://huggingface.co/monsoon-nlp/nyc-savvy-llama2-7b
@@ -13,13 +13,7 @@ from peft import AutoPeftModelForCausalLM
 from transformers import AutoTokenizer
 
 # this model
-model = AutoPeftModelForCausalLM.from_pretrained("monsoon-nlp/tinyllama-mixpretrain-uniprottune").to("cuda")
+model = AutoPeftModelForCausalLM.from_pretrained("monsoon-nlp/nyc-savvy-llama2-7b-lora-adapter").to("cuda")
 # base model for the tokenizer
-tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/tinyllama-mixpretrain-quinoa-sciphi")
-
-inputs = tokenizer("<sequence> Subcellular locations:", return_tensors="pt")
-outputs = model.generate(input_ids=inputs["input_ids"].to("cuda"), max_new_tokens=50)
-print(tokenizer.batch_decode(outputs, skip_special_tokens=True)[0])
-```
-
-Notebook: https://colab.research.google.com/drive/1UTavcVpqWkp4C_GkkS_HxDQ0Orpw43iu?usp=sharing
+tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/nyc-savvy-llama2-7b")
+```