Instructions to use Archbyte/Tetragrammaton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use Archbyte/Tetragrammaton with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("Archbyte/Tetragrammaton") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Archbyte/Tetragrammaton: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
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https://huggingface.co/Archbyte/Tetragrammaton/resolve/main/README.md
- Command line
-
hf download hf://Archbyte/Tetragrammaton/README.md
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curl -L -o README.md https://huggingface.co/Archbyte/Tetragrammaton/resolve/main/README.md
234 Bytes
metadata
datasets:
- HuggingFaceM4/Docmatix
license: apache-2.0
language:
- en
metrics:
- accuracy
library_name: fastai
pipeline_tag: question-answering
tags:
- chemistry
- biology
- code
- finance
- climate
- text-generation-inference