Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use aisuko/ft-bert-base-uncased-for-binary-search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aisuko/ft-bert-base-uncased-for-binary-search with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aisuko/ft-bert-base-uncased-for-binary-search")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aisuko/ft-bert-base-uncased-for-binary-search") model = AutoModelForSequenceClassification.from_pretrained("aisuko/ft-bert-base-uncased-for-binary-search", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files
README.md
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license: apache-2.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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base_model: bert-base-uncased
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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