Instructions to use yoannlpn/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use yoannlpn/test with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("yoannlpn/test", "model.bin")) - Notebooks
- Google Colab
- Kaggle
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Download README.md from yoannlpn/test: direct link, hf CLI and curl.
- Browser
- Download file 243 Bytes
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https://huggingface.co/yoannlpn/test/resolve/main/README.md
- Command line
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hf download hf://yoannlpn/test/README.md
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curl -L -o README.md https://huggingface.co/yoannlpn/test/resolve/main/README.md
243 Bytes
| license: grok2-community | |
| datasets: | |
| - nvidia/Nemotron-Terminal-Corpus | |
| language: | |
| - fr | |
| metrics: | |
| - bleu | |
| base_model: | |
| - openai/gpt-oss-120b | |
| new_version: Qwen/Qwen3.5-35B-A3B | |
| pipeline_tag: text-generation | |
| library_name: fasttext | |
| tags: | |
| - garden | |