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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thusken/nb-bert-base-ctr-regression: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/thusken/nb-bert-base-ctr-regression/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://thusken/nb-bert-base-ctr-regression@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/thusken/nb-bert-base-ctr-regression/resolve/refs%2Fpr%2F2/tokenizer.json
2.92 MB
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