Instructions to use SyedShamsi/Khan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use SyedShamsi/Khan with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("SyedShamsi/Khan") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
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Download README.md from SyedShamsi/Khan: direct link, hf CLI and curl.
- Browser
- Download file 288 Bytes
-
https://huggingface.co/SyedShamsi/Khan/resolve/main/README.md
- Command line
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hf download hf://SyedShamsi/Khan/README.md
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curl -L -o README.md https://huggingface.co/SyedShamsi/Khan/resolve/main/README.md
288 Bytes
metadata
license: unlicense
datasets:
- HuggingFaceFV/finevideo
language:
- ur
- en
- pt
- fr
metrics:
- accuracy
base_model:
- openai/whisper-large-v3-turbo
new_version: openai/whisper-large-v3-turbo
pipeline_tag: text-to-speech
library_name: flair
tags:
- finance
- music
- art
- climate