rhaymison
/

gemma-portuguese-tom-cat-2b-it

@@ -1,199 +1,124 @@
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 library_name: transformers
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 ---
+language:
+- pt
+license: apache-2.0
 library_name: transformers
+tags:
+- portuguese
+- brasil
+- gemma
+- portugues
+- instrucao
+datasets:
+- rhaymison/superset
+base_model: google/gemma-2b-it
+pipeline_tag: text-generation
 ---
+# gemma-portuguese-2b-luana
+<p align="center">
+  <img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/tom-cat-2b.webp"  width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+</p>
+## Model description
+updated: 2024-04-10 20:06
+The gemma-portuguese-2b model is a portuguese model trained with the superset dataset with 250,000 instructions.
+The model is mainly focused on text generation and instruction.
+The model was not trained on math and code tasks.
+The model is generalist with focus on understand portuguese inferences.
+With this fine tuning for portuguese, you can adjust the model for a specific field.
+## How to Use
+```python
+from transformers import AutoTokenizer, pipeline
+import torch
+model = "rhaymison/gemma-portuguese-luana-2b"
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.bfloat16},
+    device="cuda",
+)
+messages = [
+   {
+      "role": "system",
+      "content": "Abaixo está uma instrução que descreve uma tarefa, juntamente com uma entrada que fornece mais contexto. Escreva uma resposta que complete adequadamente o pedido."
+    },
+    {"role": "user", "content": "Me conte sobre a ida do homem a Lua."},
+]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(
+    prompt,
+    max_new_tokens=256,
+    do_sample=True,
+    temperature=0.2,
+    top_k=50,
+    top_p=0.95
+)
+print(outputs[0]["generated_text"][len(prompt):].replace("model",""))
+#A viagem à Lua foi um esforço monumental realizado pela Agência Espacial dos EUA entre 1969 e 1972.
+#Foi um marco significativo na exploração espacial e na ciência humana.
+#Aqui está uma visão geral de sua jornada: 1. O primeiro voo espacial humano foi o de Yuri Gagarin, que voou a Terra em 12 de abril de 1961.
+```
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+tokenizer2 = AutoTokenizer.from_pretrained("rhaymison/gemma-portuguese-tom-cat-2b-it")
+model2 = AutoModelForCausalLM.from_pretrained("rhaymison/gemma-portuguese-tom-cat-2b-it", device_map={"":0})
+tokenizer2.pad_token = tokenizer2.eos_token
+tokenizer2.add_eos_token = True
+tokenizer2.add_bos_token, tokenizer2.add_eos_token
+tokenizer2.padding_side = "right"
+```
+```python
+def format_template( question:str):
+    system_prompt = "Abaixo está uma instrução que descreve uma tarefa, juntamente com uma entrada que fornece mais contexto. Escreva uma resposta que complete adequadamente o pedido."
+    text = f"""<bos>system
+    {system_prompt}<end_of_turn>
+    <start_of_turn>user
+    ###instrução: {question} <end_of_turn>
+    <start_of_turn>model"""
+    return text
+question = format_template("Me conte sobre a ida do homem a Lua")
+device = "cuda:0"
+inputs = tokenizer2(text, return_tensors="pt").to(device)
+outputs = model2.generate(**inputs, max_new_tokens=256, do_sample=False)
+output = tokenizer2.decode(outputs[0], skip_special_tokens=True, skip_prompt=True)
+print(output.replace("model"," "))
+```
+### Comments
+Any idea, help or report will always be welcome.
+email: [email protected]
+ <div style="display:flex; flex-direction:row; justify-content:left">
+    <a href="https://www.linkedin.com/in/heleno-betini-2b3016175/" target="_blank">
+    <img src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white">
+  </a>
+  <a href="https://github.com/rhaymisonbetini" target="_blank">
+    <img src="https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white">
+  </a>
+ </div>