Instructions to use Sharafat36/Syed_Al with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Sharafat36/Syed_Al with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Sharafat36/Syed_Al", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Sharafat36/Syed_Al: direct link, hf CLI and curl.
- Browser
- Download file 171 Bytes
-
https://huggingface.co/Sharafat36/Syed_Al/resolve/main/README.md
- Command line
-
hf download hf://Sharafat36/Syed_Al/README.md
-
curl -L -o README.md https://huggingface.co/Sharafat36/Syed_Al/resolve/main/README.md
171 Bytes
metadata
language:
- en
metrics:
- accuracy
base_model:
- openai/whisper-large-v3-turbo
pipeline_tag: translation
library_name: adapter-transformers
tags:
- medical
- music