Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
sentiment
positive
negative
review
imdb
text-embeddings-inference
Instructions to use LukeGPT88/imdb_text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LukeGPT88/imdb_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LukeGPT88/imdb_text_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LukeGPT88/imdb_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("LukeGPT88/imdb_text_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75aa1a0daba3325f66be4e4a66db8be72bf4cac8aae3a97a596304f80cc25214
- Size of remote file:
- 268 MB
- SHA256:
- 31aed439181df3c147ef23e724c0df5833b90487add32b7dd30fd771d1bec5b3
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