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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hamzabouajila/distilled_tunbert") model = AutoModelForMaskedLM.from_pretrained("hamzabouajila/distilled_tunbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hamzabouajila/distilled_tunbert: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/hamzabouajila/distilled_tunbert/resolve/main/tokenizer.json
- Command line
-
hf download hf://hamzabouajila/distilled_tunbert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hamzabouajila/distilled_tunbert/resolve/main/tokenizer.json
711 kB
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