Instructions to use Rudra03/multiclass_opinion_classification_roberta_base_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rudra03/multiclass_opinion_classification_roberta_base_ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rudra03/multiclass_opinion_classification_roberta_base_")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rudra03/multiclass_opinion_classification_roberta_base_") model = AutoModelForSequenceClassification.from_pretrained("Rudra03/multiclass_opinion_classification_roberta_base_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
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