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
-
https://huggingface.co/beanip/nwb/resolve/main/README.md
- Command line
-
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
metadata
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