Update README.md

README.md

@@ -10,4 +10,33 @@ license: apache-2.0
 
 
 ## Adapter Description
-This adapter was created with the [PEFT](https://github.com/huggingface/peft) library and allowed the base model *bertin-project/bertin-gpt-j-6B* to be fine-tuned on the *Spanish Alpaca Dataset* by using the method *LoRA*.
+This adapter was created with the [PEFT](https://github.com/huggingface/peft) library and allowed the base model *bertin-project/bertin-gpt-j-6B* to be fine-tuned on the *Spanish Alpaca Dataset* by using the method *LoRA*.
+
+
+## How to use
+```py
+import torch
+from peft import PeftModel, PeftConfig
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+peft_model_id = "hackathon-somos-nlp-2023/bertin-gpt-j-6B-es-finetuned-salpaca"
+config = PeftConfig.from_pretrained(peft_model_id)
+model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, device_map='auto')
+# tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
+tokenizer = AutoTokenizer.from_pretrained(peft_model_id)
+
+# Load the Lora model
+model = PeftModel.from_pretrained(model, peft_model_id)
+
+def gen_conversation(text):
+  text = "<SC>instruction: " + text + "\n "
+  batch = tokenizer(text, return_tensors='pt')
+  with torch.cuda.amp.autocast():
+    output_tokens = model.generate(**batch, max_new_tokens=256, eos_token_id=50258, early_stopping = True, temperature=.9)
+
+  print('\n\n', tokenizer.decode(output_tokens[0], skip_special_tokens=False))
+
+text = "hola"
+
+gen_conversation(text)
+```