Create README.md


SAlpaca: Spanish Alpaca

Adapter Description:
This adapter was created with the PEFT library and allowed the base model bertin-gpt-j-6B-es-finetuned to be fine-tuned on Spanish Alpaca Dataset by using the method LoRA.

How to use:

```
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(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)

print('\n\n', tokenizer.decode(output_tokens[0], skip_special_tokens=False))

text = "hola, cómo estás?"

gen_conversation(text)

```

README.md

@@ -0,0 +1,6 @@
+---
+datasets:
+- bertin-project/alpaca-spanish
+language:
+- es
+---