Instructions to use Jobzi/AhSimon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use Jobzi/AhSimon with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("Jobzi/AhSimon", "model.bin")) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Jobzi/AhSimon: direct link, hf CLI and curl.
- Browser
- Download file 209 Bytes
-
https://huggingface.co/Jobzi/AhSimon/resolve/main/README.md
- Command line
-
hf download hf://Jobzi/AhSimon/README.md
-
curl -L -o README.md https://huggingface.co/Jobzi/AhSimon/resolve/main/README.md
209 Bytes
| license: mit | |
| language: | |
| - en | |
| metrics: | |
| - bleurt | |
| - bertscore | |
| base_model: | |
| - deepseek-ai/DeepSeek-R1 | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| pipeline_tag: text-classification | |
| library_name: fasttext | |
| tags: | |
| - art | |