Text Classification
Transformers
PyTorch
Safetensors
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use lorenzoscottb/bert-base-cased-PLANE-ood-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lorenzoscottb/bert-base-cased-PLANE-ood-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lorenzoscottb/bert-base-cased-PLANE-ood-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lorenzoscottb/bert-base-cased-PLANE-ood-2") model = AutoModelForSequenceClassification.from_pretrained("lorenzoscottb/bert-base-cased-PLANE-ood-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9054f7c7abcb9b105d428a4a300376b346d4f2e28b24ddfa3daa21694e9b4f4
- Size of remote file:
- 3.38 kB
- SHA256:
- 1b94aae1da453f66379d6e73f7e2e6656c3037f5b04f51fdaeb4cd7774cb5817
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