Text Classification
PEFT
Safetensors
Arabic
French
darija
arabic
moroccan-arabic
arabizi
nlp
lora
bertouch
Instructions to use MedAdil/BERTal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MedAdil/BERTal with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("AbderrahmanSkiredj1/BERTouch") model = PeftModel.from_pretrained(base_model, "MedAdil/BERTal") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MedAdil/BERTal: direct link, hf CLI and curl.
- Browser
- Download file 1.77 MB
-
https://huggingface.co/MedAdil/BERTal/resolve/main/tokenizer.json
- Command line
-
hf download hf://MedAdil/BERTal/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MedAdil/BERTal/resolve/main/tokenizer.json
1.77 MB
File too large to display, you can check the raw version instead.