Instructions to use Foysalh/html with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use Foysalh/html with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("Foysalh/html", "model.bin")) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Foysalh/html: direct link, hf CLI and curl.
- Browser
- Download file 223 Bytes
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https://huggingface.co/Foysalh/html/resolve/main/README.md
- Command line
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hf download hf://Foysalh/html/README.md
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curl -L -o README.md https://huggingface.co/Foysalh/html/resolve/main/README.md
223 Bytes
| license: mit | |
| datasets: | |
| - nvidia/Llama-Nemotron-Post-Training-Dataset | |
| language: | |
| - cv | |
| metrics: | |
| - bertscore | |
| new_version: deepseek-ai/DeepSeek-V3-0324 | |
| pipeline_tag: question-answering | |
| library_name: fasttext | |
| tags: | |
| - code | |