Update README.md

README.md

@@ -1,8 +1,19 @@
 ---
 library_name: peft
-pipeline_tag: text-generation
 ---
 
+For demonstration, please refer to demo.jpynb in the files.
+
+To use the checkpoint:
+```
+from peft import PeftModel, PeftConfig
+from transformers import AutoModelForCausalLM
+
+config = PeftConfig.from_pretrained("TorpilleAlpha/scanpy-llama")
+model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf")# or use your local llama-2-7B-chat shards
+model = PeftModel.from_pretrained(model, "TorpilleAlpha/scanpy-llama")
+```
+
 ## Training procedure
 
 
@@ -20,14 +31,4 @@ The following `bitsandbytes` quantization config was used during training:
 ### Framework versions
 
 
-- PEFT 0.5.0
-
-To use the checkpoint:
-```
-from peft import PeftModel, PeftConfig
-from transformers import AutoModelForCausalLM
-
-config = PeftConfig.from_pretrained("TorpilleAlpha/scanpy-llama")
-model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf")# or use your local llama-2-7B-chat ckpts
-model = PeftModel.from_pretrained(model, "TorpilleAlpha/scanpy-llama")
-```
+- PEFT 0.5.0