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")# 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
max seq provided
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
CHANGED
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@@ -7,5 +7,6 @@
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"mask_token": "[MASK]",
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"tokenize_chinese_chars": true,
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"strip_accents": false,
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"special_tokens_map_file": null
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}
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"mask_token": "[MASK]",
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"tokenize_chinese_chars": true,
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"strip_accents": false,
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+
"model_max_length": 512,
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"special_tokens_map_file": null
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}
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