Instructions to use HooshvareLab/bert-fa-zwnj-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-fa-zwnj-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HooshvareLab/bert-fa-zwnj-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-fa-zwnj-base") model = AutoModelForMaskedLM.from_pretrained("HooshvareLab/bert-fa-zwnj-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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upload flax model
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allow flax
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max seq provided
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Initialized
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initial commit
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