Instructions to use HooshvareLab/bert-base-parsbert-armanner-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-base-parsbert-armanner-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HooshvareLab/bert-base-parsbert-armanner-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-base-parsbert-armanner-uncased") model = AutoModelForTokenClassification.from_pretrained("HooshvareLab/bert-base-parsbert-armanner-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b28ecd369d46906b6e6c7fdb840c65e685647252d4090700816bcdad71a23b3
- Size of remote file:
- 968 Bytes
- SHA256:
- 1f8afaf3a7d3d5e751fcaee3b2fb62ad8f1bdfc3339c932a9c16dbe5a4589d9f
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