Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
gender
text-embeddings-inference
Instructions to use sasi2400/GFMgenderDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sasi2400/GFMgenderDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sasi2400/GFMgenderDetection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sasi2400/GFMgenderDetection") model = AutoModelForSequenceClassification.from_pretrained("sasi2400/GFMgenderDetection") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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license: apache-2.0
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tags:
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- generated_from_trainer
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- gender
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metrics:
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- accuracy
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model-index:
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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