Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use swritchie/distilbert-rotten-tomatoes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swritchie/distilbert-rotten-tomatoes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="swritchie/distilbert-rotten-tomatoes")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("swritchie/distilbert-rotten-tomatoes") model = AutoModelForSequenceClassification.from_pretrained("swritchie/distilbert-rotten-tomatoes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bf822b26393e61b3e421ede5e662f37409eef670b34d8b0b1d3362ac2cada9d
- Size of remote file:
- 5.14 kB
- SHA256:
- 647e8aaa4c8bb4ffe615bd2a2a76a5090c1e60054cf159a191950a1cf3abf524
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