Instructions to use HooshvareLab/bert-fa-base-uncased-clf-persiannews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-fa-base-uncased-clf-persiannews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HooshvareLab/bert-fa-base-uncased-clf-persiannews")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-fa-base-uncased-clf-persiannews") model = AutoModelForSequenceClassification.from_pretrained("HooshvareLab/bert-fa-base-uncased-clf-persiannews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): b0704b9
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:f1c4a1091f78db31ca4f36e4c225a88f819ed7071150267cef43c5e457228b6a
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size 651397202
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