Instructions to use inedcom/clases with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use inedcom/clases with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("inedcom/clases", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from inedcom/clases: direct link, hf CLI and curl.
- Browser
- Download file 207 Bytes
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https://huggingface.co/inedcom/clases/resolve/main/README.md
- Command line
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hf download hf://inedcom/clases/README.md
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curl -L -o README.md https://huggingface.co/inedcom/clases/resolve/main/README.md
207 Bytes
| license: bigscience-bloom-rail-1.0 | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| language: | |
| - es | |
| metrics: | |
| - accuracy | |
| library_name: adapter-transformers | |
| pipeline_tag: table-question-answering | |
| tags: | |
| - biology | |