Instructions to use zeifar/mlm-bert-persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeifar/mlm-bert-persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zeifar/mlm-bert-persian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zeifar/mlm-bert-persian") model = AutoModelForMaskedLM.from_pretrained("zeifar/mlm-bert-persian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6aa1dc173f111e08775b87eca04b4df728efd4d1f7c52360c11e3f5ac92e57c
- Size of remote file:
- 670 MB
- SHA256:
- 1fa34f4247d0ba837186f2bfd5d35925d831f7085c7d11f9fc95d668e3bbf330
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