Text Classification
Transformers
Safetensors
English
bert
sentiment-analysis
tinybert
imdb
text-embeddings-inference
Instructions to use Harsha901/tinybert-imdb-sentiment-analysis-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harsha901/tinybert-imdb-sentiment-analysis-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Harsha901/tinybert-imdb-sentiment-analysis-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Harsha901/tinybert-imdb-sentiment-analysis-model") model = AutoModelForSequenceClassification.from_pretrained("Harsha901/tinybert-imdb-sentiment-analysis-model") - Notebooks
- Google Colab
- Kaggle
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