Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use MBimrose/distilbert-rotten-tomatoes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBimrose/distilbert-rotten-tomatoes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MBimrose/distilbert-rotten-tomatoes")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MBimrose/distilbert-rotten-tomatoes") model = AutoModelForSequenceClassification.from_pretrained("MBimrose/distilbert-rotten-tomatoes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c4fe2ac1cc29e86b3b22d3801310b1985fa27b950eddb302d3a2a6c95103532
- Size of remote file:
- 5.78 kB
- SHA256:
- 3e831ec55e27d2ef1dce5ab03eff18b966979eafb72804deaea8cbe108479d97
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