Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use philschmid/tiny-bert-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/tiny-bert-sst2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philschmid/tiny-bert-sst2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/tiny-bert-sst2-distilled") model = AutoModelForSequenceClassification.from_pretrained("philschmid/tiny-bert-sst2-distilled") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): ddd6861
Training in progress, epoch 6
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pytorch_model.bin
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