Create README.md (#1)

- Create README.md (3afea6010edd4a809b432b977a6284f75e23c246)


Co-authored-by: Nicky <NickyNicky@users.noreply.huggingface.co>

README.md

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+---
+language:
+- es
+license: apache-2.0
+datasets:
+- hackathon-somos-nlp-2023/Habilidades_Agente_v1
+pipeline_tag: conversational
+---
+
+<div style="text-align:center;width:450px;height:450px;">
+    <img src="https://huggingface.co/hackathon-somos-nlp-2023/SalpiBloomZ_15949_input_512-1b7/resolve/main/salpi.png" alt="SAlsapaca logo"">
+</div>
+
+
+
+# SalpiBloomZ-1b7: Spanish + BloomZ + Alpaca + softskills + virtual agents  (WIP)
+
+
+## Adapter Description
+This adapter was created with the [PEFT](https://github.com/huggingface/peft) library and allowed the base model [bigscience/bloomz-1b7](https://huggingface.co/bigscience/bloomz-1b7) to be fine-tuned on the [hackathon-somos-nlp-2023/Habilidades_Agente_v1](https://huggingface.co/datasets/hackathon-somos-nlp-2023/Habilidades_Agente_v1) 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 }
+}