Fill-Mask
Transformers
Safetensors
Central Kurdish
Kurdish
roberta
kurdish
sorani
central-kurdish
masked-lm
Instructions to use haryads/kurdish-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haryads/kurdish-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="haryads/kurdish-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("haryads/kurdish-roberta") model = AutoModelForMaskedLM.from_pretrained("haryads/kurdish-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from haryads/kurdish-roberta: direct link, hf CLI and curl.
- Browser
- Download file 2.62 MB
-
https://huggingface.co/haryads/kurdish-roberta/resolve/main/tokenizer.json
- Command line
-
hf download hf://haryads/kurdish-roberta/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/haryads/kurdish-roberta/resolve/main/tokenizer.json
2.62 MB
File too large to display, you can check the raw version instead.