Fill-Mask
Transformers
Safetensors
Dari
bert
dari
dari-persian
persian
parsbert
masked-language-model
masked-lm
nlp
natural-language-processing
low-resource-language
Instructions to use hahang/DariBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hahang/DariBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hahang/DariBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hahang/DariBERT") model = AutoModelForMaskedLM.from_pretrained("hahang/DariBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hahang/DariBERT: direct link, hf CLI and curl.
- Browser
- Download file 2.81 MB
-
https://huggingface.co/hahang/DariBERT/resolve/main/tokenizer.json
- Command line
-
hf download hf://hahang/DariBERT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hahang/DariBERT/resolve/main/tokenizer.json
2.81 MB
File too large to display, you can check the raw version instead.