Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use AnaBach/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 AnaBach/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="AnaBach/roberta-base-bne-finetuned-amazon_reviews_multi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnaBach/roberta-base-bne-finetuned-amazon_reviews_multi") model = AutoModelForSequenceClassification.from_pretrained("AnaBach/roberta-base-bne-finetuned-amazon_reviews_multi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot