File size: 2,222 Bytes
9234eb0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
---
datasets:
- bertin-project/alpaca-spanish
language:
- es
license: apache-2.0
---
<div style="text-align:center;width:350px;height:350px;">
<img src="https://huggingface.co/hackathon-somos-nlp-2023/salsapaca-native/resolve/main/Alpaca2.png" alt="SAlsapaca logo"">
</div>
# SAlsapaca: Spanish + Salsa + Alpaca-Native (WIP)
## Adapter Description
This adapter was created with the [PEFT](https://github.com/huggingface/peft) library and allowed the base model [chavinlo/alpaca-native](https://huggingface.co/chavinlo/alpaca-native) to be fine-tuned on the [Spanish Alpaca Dataset](https://huggingface.co/datasets/bertin-project/alpaca-spanish) 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/salsapaca-native"
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, early_stopping = True, temperature=.9)
print('\n\n', tokenizer.decode(output_tokens[0], skip_special_tokens=False))
text = "hola"
gen_conversation(text)
```
## Resources used
Google Colab machine with the following specifications
<div style="text-align:center;width:550px;height:550px;">
<img src="https://huggingface.co/hackathon-somos-nlp-2023/bertin-gpt-j-6B-es-finetuned-salpaca/resolve/main/resource.jpeg" alt="Resource logo">
</div>
## Citation
```
@misc {hackathon-somos-nlp-2023,
author = { {Edison Bejarano, Leonardo Bolaños, Alberto Ceballos, Santiago Pineda, Nicolay Potes} },
title = { SAlsapaca },
year = 2023,
url = { https://huggingface.co/hackathon-somos-nlp-2023/salsapaca-native }
publisher = { Hugging Face }
}
``` |