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
-
https://huggingface.co/Olibot/chatfps/resolve/main/README.md
- Command line
-
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
metadata
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