Instructions to use netcat420/MFANN3bv0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use netcat420/MFANN3bv0.1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("netcat420/MFANN3bv0.1", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from netcat420/MFANN3bv0.1: direct link, hf CLI and curl.
- Browser
- Download file 512 kB
-
https://huggingface.co/netcat420/MFANN3bv0.1/resolve/main/tokenizer.model
- Command line
-
hf download hf://netcat420/MFANN3bv0.1/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/netcat420/MFANN3bv0.1/resolve/main/tokenizer.model
512 kB
- Xet hash:
- dbd100cda791467925192b423d5b40e758af04d25a730da24cc5afb00f488ec2
- Size of remote file:
- 512 kB
- SHA256:
- 91b289e85fa20fd375d8b33dc12f77616f18abc6359804471d1fafcb425fecb8
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