Instructions to use HooshvareLab/bert-base-parsbert-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-base-parsbert-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HooshvareLab/bert-base-parsbert-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-base-parsbert-uncased") model = AutoModelForMaskedLM.from_pretrained("HooshvareLab/bert-base-parsbert-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
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Parent(s): cd543d2
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:2bcf6b7f3e82ff7fd6873e2cfe2802337bae4a183025da9243a217e4c153e519
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size 651778791
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