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:
- cfbc3b00a9eab08f5d21aed7ff65fcbb0043372e4bf68304897737789833ca72
- Size of remote file:
- 1.58 kB
- SHA256:
- 80be229003c117a9184f6aff95eaf1ad50eafdc2894c221571cce1aedb673fe4
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