Instructions to use beanip/nwb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use beanip/nwb with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("beanip/nwb", "model.bin")) - Notebooks
- Google Colab
- Kaggle
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Download README.md from beanip/nwb: direct link, hf CLI and curl.
- Browser
- Download file 225 Bytes
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https://huggingface.co/beanip/nwb/resolve/main/README.md
- Command line
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hf download hf://beanip/nwb/README.md
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curl -L -o README.md https://huggingface.co/beanip/nwb/resolve/main/README.md
225 Bytes
| license: apache-2.0 | |
| datasets: | |
| - nvidia/Llama-Nemotron-Post-Training-Dataset-v1 | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - Qwen/QwQ-32B | |
| new_version: Qwen/QwQ-32B | |
| pipeline_tag: summarization | |
| library_name: fasttext | |