Instructions to use prithivMLmods/MBERT-Context-Specifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/MBERT-Context-Specifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prithivMLmods/MBERT-Context-Specifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/MBERT-Context-Specifier") model = AutoModelForSequenceClassification.from_pretrained("prithivMLmods/MBERT-Context-Specifier") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- answerdotai/ModernBERT-base
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pipeline_tag: text-classification
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library_name: transformers
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tags:
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- modernbert
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- m-bert
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---
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