Text Classification
Transformers
TensorBoard
ONNX
Safetensors
PyTorch
English
bert
movie-review-sentiment
BertForSequenceClassification
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use arnabdhar/tinybert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnabdhar/tinybert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arnabdhar/tinybert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arnabdhar/tinybert-imdb") model = AutoModelForSequenceClassification.from_pretrained("arnabdhar/tinybert-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddc0ca43d10629973eba5e37a9dc69d18e84639ce1f5f31fa549d5eb3d09be22
- Size of remote file:
- 4.6 kB
- SHA256:
- b7793fdefee408dca59b005f09001be00fd57849eb55d4dc0a10ea0c574cddb2
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