Instructions to use numblilbug/multilabel-rubert-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numblilbug/multilabel-rubert-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="numblilbug/multilabel-rubert-sentiment-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("numblilbug/multilabel-rubert-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("numblilbug/multilabel-rubert-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
ba272a2
1
Parent(s): 4b02318
Training in progress, epoch 1
Browse files
model.safetensors
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