Instructions to use NorahAlshahrani/BERTmsda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NorahAlshahrani/BERTmsda with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NorahAlshahrani/BERTmsda")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NorahAlshahrani/BERTmsda") model = AutoModelForSequenceClassification.from_pretrained("NorahAlshahrani/BERTmsda") - Notebooks
- Google Colab
- Kaggle
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README.md
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model-index:
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- name: BERTmsda
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.28.1
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- Pytorch 1.12.1+cu116
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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model-index:
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- name: BERTmsda
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results: []
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license: mit
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language:
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- ar
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pipeline_tag: text-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.28.1
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- Pytorch 1.12.1+cu116
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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