Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
sentiment-analysis
text-embeddings-inference
Instructions to use DerivedFunction01/distilroberta-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DerivedFunction01/distilroberta-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DerivedFunction01/distilroberta-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DerivedFunction01/distilroberta-imdb") model = AutoModelForSequenceClassification.from_pretrained("DerivedFunction01/distilroberta-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0737cdca81218367dc24b202a34b92c5c459d36d1a98e61fe81dc440b8857be
- Size of remote file:
- 328 MB
- SHA256:
- af36cfacf81ffdfb77f9dd437b2447427c54513d4dbfbed7c7a348613d262ac9
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