Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Proggleb/roberta-base-bne-finetuned-amazon_reviews_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Proggleb/roberta-base-bne-finetuned-amazon_reviews_multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Proggleb/roberta-base-bne-finetuned-amazon_reviews_multi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Proggleb/roberta-base-bne-finetuned-amazon_reviews_multi") model = AutoModelForSequenceClassification.from_pretrained("Proggleb/roberta-base-bne-finetuned-amazon_reviews_multi") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot