Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Laurie/bert-base-banking77-pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Laurie/bert-base-banking77-pt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Laurie/bert-base-banking77-pt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Laurie/bert-base-banking77-pt2") model = AutoModelForSequenceClassification.from_pretrained("Laurie/bert-base-banking77-pt2") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the default config and test split of banking77
#3 opened over 2 years ago
by
autoevaluator
Add evaluation results on the default config and test split of banking77
#2 opened over 2 years ago
by
autoevaluator
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot