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:
- d27d86cdeb7bb4a917a3e2922597a2fd426b86767fb1d22e177f9202c92a4a10
- Size of remote file:
- 17.5 MB
- SHA256:
- 9ebdd52ef2688118e703778598f7788506e59be84873b417b882031137c8cf58
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