Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use nullzero-live/bert-base-banking77-pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nullzero-live/bert-base-banking77-pt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nullzero-live/bert-base-banking77-pt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nullzero-live/bert-base-banking77-pt2") model = AutoModelForSequenceClassification.from_pretrained("nullzero-live/bert-base-banking77-pt2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bca8ae5b8e4efa09c01d565e01478898353c6ffc300f6d5365a0cc7b4391ff0
- Size of remote file:
- 3.64 kB
- SHA256:
- 5853ca1873d814ee0026936115c48fe07a498fb25703d39c283da3eec5294e47
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