Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use thusken/nb-bert-base-ctr-regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thusken/nb-bert-base-ctr-regression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thusken/nb-bert-base-ctr-regression")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thusken/nb-bert-base-ctr-regression") model = AutoModelForSequenceClassification.from_pretrained("thusken/nb-bert-base-ctr-regression") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 673a53feb729a3be3b53095a6452dc11f2bde02d91906b4d40f064af7b3429cf
- Size of remote file:
- 3.06 kB
- SHA256:
- 23d576774c8a71098116d2432d48bc4354b4eb1bfa9437f24c8fb61f2bc79b18
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