Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use numblilbug/interior-rubert-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numblilbug/interior-rubert-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="numblilbug/interior-rubert-sentiment-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("numblilbug/interior-rubert-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("numblilbug/interior-rubert-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
367ab7a -
Training in progress, epoch 1
3d4fc8c -
Training in progress, epoch 1
c6b84af -
initial commit
ebb1323