Instructions to use thusken/nb-bert-base-user-needs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thusken/nb-bert-base-user-needs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thusken/nb-bert-base-user-needs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thusken/nb-bert-base-user-needs") model = AutoModelForSequenceClassification.from_pretrained("thusken/nb-bert-base-user-needs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thusken/nb-bert-base-user-needs: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/thusken/nb-bert-base-user-needs/resolve/refs%2Fpr%2F3/tokenizer.json
- Command line
-
hf download hf://thusken/nb-bert-base-user-needs@refs/pr/3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/thusken/nb-bert-base-user-needs/resolve/refs%2Fpr%2F3/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.