library_name: transformers
license: apache-2.0
language:
- fa
Model Card for Model ID
Model Details
Model Description
This model is Persian Q/A fine-tuned on Google's Gemma open-source model. Users can ask general question from it. It can be used for chatbot applications and fine-tuning for other datasets.
- Developed by: Ali Bidaran
- Language(s) (NLP): Farsi
- License: [More Information Needed]
- Finetuned from model [optional]: [More Information Needed]
Uses
This model can be used for developing chatbot applications, Q/A, instruction engineering and fine-tuning with other persian datasets.
Direct Use
python ``` import torch from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig, GemmaTokenizer
model_id = "alibidaran/Gemma2_Farsi" bnb_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16 )
tokenizer = AutoTokenizer.from_pretrained(model_id, token=os.environ['HF_TOKEN'])
model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, device_map={"":0}, token=os.environ['HF_TOKEN'])
prompt = "چند روش برای کاهش چربی بدن ارائه نمایید؟"
text = f" ###Human: {prompt} ###Asistant: "
inputs=tokenizer(text,return_tensors='pt').to('cuda') with torch.no_grad(): outputs=model.generate(**inputs,max_new_tokens=400,do_sample=True,top_p=0.99,top_k=10,temperature=0.7) print(tokenizer.decode(outputs[0], skip_special_tokens=True))
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]