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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28aa518ec84e22c61725788554bc05e411f1caa30b9a3842e685950060efc1ca
- Size of remote file:
- 17.6 MB
- SHA256:
- 557f4abbda05255de763c3ea576896c8f3a8627ea7a64616b114bd0427741635
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