Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use casarf/comment_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casarf/comment_model_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="casarf/comment_model_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("casarf/comment_model_test") model = AutoModelForSequenceClassification.from_pretrained("casarf/comment_model_test") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 10
Browse files
README.md
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- Train Loss: 0.2129
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- Validation Loss: 0.6270
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- Train Accuracy: 0.7349
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- Epoch:
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## Model description
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### Framework versions
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- Train Loss: 0.2129
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- Validation Loss: 0.6270
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- Train Accuracy: 0.7349
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- Epoch: 10
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## Model description
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| 0.2019 | 0.6270 | 0.7349 | 7 |
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| 0.2055 | 0.6270 | 0.7349 | 8 |
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| 0.2129 | 0.6270 | 0.7349 | 9 |
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| 0.2129 | 0.6270 | 0.7349 | 10 |
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### Framework versions
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