Text Generation
PEFT
Safetensors
Arabic
llama
medical
med
text2text-generation
4-bit precision
bitsandbytes
Instructions to use beetleware/beetelware-tabep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beetleware/beetelware-tabep with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("FreedomIntelligence/AceGPT-7B") model = PeftModel.from_pretrained(base_model, "beetleware/beetelware-tabep") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
language:
- ar
base_model:
- ACE-Step/ACE-Step-v1-3.5B
pipeline_tag: text2text-generation
library_name: peft
tags:
- medical
- med
#test this from transformers import AutoTokenizer
from peft import PeftModel from transformers import AutoModelForCausalLM from unsloth import FastLanguageModel
base_model = FastLanguageModel.from_pretrained("FreedomIntelligence/AceGPT-7B")
model = PeftModel.from_pretrained(base_model, "hamywaleed/tabib_beetlware_v1")
tokenizer = AutoTokenizer.from_pretrained("FreedomIntelligence/AceGPT-7B")