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
metadata
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