Fill-Mask
Transformers
Safetensors
Arabic
distilbert
tunisian-arabic
nlp
bert
distillation
low-resource
open-source
sentiment-analysis
language-model
Instructions to use hamzabouajila/distilled_tunbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hamzabouajila/distilled_tunbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hamzabouajila/distilled_tunbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hamzabouajila/distilled_tunbert") model = AutoModelForMaskedLM.from_pretrained("hamzabouajila/distilled_tunbert") - Notebooks
- Google Colab
- Kaggle
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