fastText
Akan
chemistry
biology
legal
finance
music
medical
climate
text-generation-inference
Merge
art
Instructions to use SirFestus/Text-To-Text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use SirFestus/Text-To-Text with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("SirFestus/Text-To-Text", "model.bin")) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from SirFestus/Text-To-Text: direct link, hf CLI and curl.
- Browser
- Download file 405 Bytes
-
https://huggingface.co/SirFestus/Text-To-Text/resolve/main/README.md
- Command line
-
hf download hf://SirFestus/Text-To-Text/README.md
-
curl -L -o README.md https://huggingface.co/SirFestus/Text-To-Text/resolve/main/README.md
405 Bytes
| license: bigscience-openrail-m | |
| datasets: | |
| - open-thoughts/OpenThoughts-114k | |
| - PJMixers-Dev/open-thoughts_OpenThoughts-114k-CustomShareGPT | |
| language: | |
| - ak | |
| metrics: | |
| - accuracy | |
| - code_eval | |
| base_model: | |
| - deepseek-ai/DeepSeek-R1 | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| library_name: fasttext | |
| tags: | |
| - chemistry | |
| - biology | |
| - legal | |
| - finance | |
| - music | |
| - medical | |
| - climate | |
| - text-generation-inference | |
| - merge | |
| - art | |