Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use thusken/nb-bert-base-target-group with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thusken/nb-bert-base-target-group with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thusken/nb-bert-base-target-group")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thusken/nb-bert-base-target-group") model = AutoModelForSequenceClassification.from_pretrained("thusken/nb-bert-base-target-group") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 876e1322290f8f8f7f6948b873f1a49e00876fc71013714444579cca17b02be1
- Size of remote file:
- 3.06 kB
- SHA256:
- b2d0f9d9ca0afe8601778e56b461e6152ba5dc633ac58f04895cc8d5c2127107
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