Instructions to use HooshvareLab/bert-fa-base-uncased-clf-digimag 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-digimag 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-digimag")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-fa-base-uncased-clf-digimag") model = AutoModelForSequenceClassification.from_pretrained("HooshvareLab/bert-fa-base-uncased-clf-digimag") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 002baf63ae94fc7ca0dad255980a7ed94ec5fcfffc76bbea50e689e10f4065a2
- Size of remote file:
- 651 MB
- SHA256:
- 66ba2babf819baef7c8050b662a5c669611c6c0c35489dd6ae095c56a8ec9e02
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