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
-
https://huggingface.co/Foysalh/html/resolve/main/README.md
- Command line
-
hf download hf://Foysalh/html/README.md
-
curl -L -o README.md https://huggingface.co/Foysalh/html/resolve/main/README.md
223 Bytes
metadata
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