Instructions to use Olibot/chatfps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Olibot/chatfps with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Olibot/chatfps", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Olibot/chatfps: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
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https://huggingface.co/Olibot/chatfps/resolve/main/README.md
- Command line
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hf download hf://Olibot/chatfps/README.md
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curl -L -o README.md https://huggingface.co/Olibot/chatfps/resolve/main/README.md
214 Bytes
| license: openrail | |
| datasets: | |
| - microsoft/orca-agentinstruct-1M-v1 | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - meta-llama/Llama-3.2-1B | |
| - Qwen/Qwen2.5-Coder-32B-Instruct | |
| library_name: adapter-transformers | |