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:
- 2ce0be6f736fbf593bd099facee19db4796884d4e474d4362130c25fb0328153
- Size of remote file:
- 651 MB
- SHA256:
- f9303722fadfc985eaff7badb5a6dd8ba24b2fa86188c67449d807112222f08f
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