Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use rajistics/imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajistics/imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rajistics/imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rajistics/imdb") model = AutoModelForSequenceClassification.from_pretrained("rajistics/imdb") - Notebooks
- Google Colab
- Kaggle
update model card README.md
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README.md
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 125 | 0.
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### Framework versions
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 125 | 0.3268 | 0.876 |
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### Framework versions
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