Instructions to use Mayem8630/Mayem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Mayem8630/Mayem with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Mayem8630/Mayem", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Mayem8630/Mayem: direct link, hf CLI and curl.
- Browser
- Download file 210 Bytes
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https://huggingface.co/Mayem8630/Mayem/resolve/main/README.md
- Command line
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hf download hf://Mayem8630/Mayem/README.md
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curl -L -o README.md https://huggingface.co/Mayem8630/Mayem/resolve/main/README.md
210 Bytes
metadata
license: creativeml-openrail-m
datasets:
- fka/awesome-chatgpt-prompts
language:
- en
metrics:
- accuracy
library_name: adapter-transformers
pipeline_tag: image-to-text
tags:
- climate
- legal
- biology