Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use learning-sponge/distilbert-rotten-tomatoes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learning-sponge/distilbert-rotten-tomatoes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="learning-sponge/distilbert-rotten-tomatoes")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("learning-sponge/distilbert-rotten-tomatoes") model = AutoModelForSequenceClassification.from_pretrained("learning-sponge/distilbert-rotten-tomatoes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ece9ea64bfa5cb2e30376dbb06f286ea1c68d9783d2f84aabe5e1ced047083f9
- Size of remote file:
- 5.78 kB
- SHA256:
- b910f042984256cbb6fe9d665a1dbdda949afadabaa024f4ef6c70030b74e0b9
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