Text Generation
PEFT
Safetensors
Arabic
English
medical
healthcare
arabic
egyptian-arabic
gemma3
medgemma
lora
continued-pretraining
dr-ai
conversational
Instructions to use ehab215/DR-AI-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ehab215/DR-AI-V1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-1.5-4b-it") model = PeftModel.from_pretrained(base_model, "ehab215/DR-AI-V1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ehab215/DR-AI-V1: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/ehab215/DR-AI-V1/resolve/main/tokenizer.json
- Command line
-
hf download hf://ehab215/DR-AI-V1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ehab215/DR-AI-V1/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 58610ae638246a0472954d06e2f72e6765c428871abadff88fb09c675cd9bed0
- Size of remote file:
- 33.4 MB
- SHA256:
- a74aefb1dc1340a25f29ab8370384b9ed24b2d921d7749ece7bbcfcfdf00d497
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