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:
- f0738fe4e459f45d849d13cb6741f6ebe06ce6eb46bca10f6177f935ad7a9fdd
- Size of remote file:
- 712 MB
- SHA256:
- 5802030516d6c26eccaac6ec20146c490aedceb1e51a5d0172e3b9873d369793
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