Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use psj0919/bert-base-banking77-pt2_model_BertForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psj0919/bert-base-banking77-pt2_model_BertForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="psj0919/bert-base-banking77-pt2_model_BertForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("psj0919/bert-base-banking77-pt2_model_BertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("psj0919/bert-base-banking77-pt2_model_BertForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
research paper eval
#1
by asadf1729 - opened