Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use amirapppppp79/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amirapppppp79/my_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amirapppppp79/my_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amirapppppp79/my_model") model = AutoModelForSequenceClassification.from_pretrained("amirapppppp79/my_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): e76affc
Training in progress epoch 2
Browse files
README.md
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- Train Loss: nan
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- Validation Loss: nan
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- Train Accuracy: 0.0
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- Epoch:
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## Model description
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### Framework versions
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- Train Loss: nan
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- Validation Loss: nan
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- Train Accuracy: 0.0
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- Epoch: 2
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## Model description
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| nan | nan | 0.0 | 0 |
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### Framework versions
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