Instructions to use fdcmasta/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use fdcmasta/test with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("fdcmasta/test") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
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Download README.md from fdcmasta/test: direct link, hf CLI and curl.
- Browser
- Download file 364 Bytes
-
https://huggingface.co/fdcmasta/test/resolve/main/README.md
- Command line
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hf download hf://fdcmasta/test/README.md
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curl -L -o README.md https://huggingface.co/fdcmasta/test/resolve/main/README.md
364 Bytes
metadata
license: afl-3.0
datasets:
- open-thoughts/OpenThoughts-114k
- HuggingFaceFW/fineweb
- fka/awesome-chatgpt-prompts
- Congliu/Chinese-DeepSeek-R1-Distill-data-110k
language:
- ru
- en
- uk
metrics:
- accuracy
- bleu
base_model:
- deepseek-ai/DeepSeek-R1
- Zyphra/Zonos-v0.1-hybrid
new_version: deepseek-ai/Janus-Pro-7B
library_name: flair
tags:
- art
- code