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
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curl -L -o README.md https://huggingface.co/Sharafat36/Syed_Al/resolve/main/README.md
171 Bytes
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - openai/whisper-large-v3-turbo | |
| pipeline_tag: translation | |
| library_name: adapter-transformers | |
| tags: | |
| - medical | |
| - music | |