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:
- dbf3b8ae67d15ad9e59f1b142af023f3663c893579363097ef7035131d8870a7
- Size of remote file:
- 433 MB
- SHA256:
- 64db0057269af06fec24e4c28de71fd5f4f8609accf499baa57db7ca27427b5f
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