Text Classification
Transformers
PyTorch
English
roberta
Eval Results (legacy)
text-embeddings-inference
Instructions to use philschmid/RoBERTa-Banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/RoBERTa-Banking77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philschmid/RoBERTa-Banking77")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/RoBERTa-Banking77") model = AutoModelForSequenceClassification.from_pretrained("philschmid/RoBERTa-Banking77") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Add evaluation results on banking77 dataset
2
#1 opened almost 4 years ago
by
autoevaluator