co2_eq_emissions:
emissions: number (in grams of CO2)
source: "source of the information, either directly from AutoTrain, code carbon or from a scientific article documenting the model"
training_type: "pre-training or fine-tuning"
geographical_location: "as granular as possible, for instance Quebec, Canada or Brooklyn, NY, USA. To check your compute's electricity grid, you can check out https://app.electricitymap.org."
hardware_used: "how much compute and what kind, e.g. 8 v100 GPUs"
widget:
text: "What's my name?"
context: "My name is Clara and I live in Berkeley."
example_title: "Name"
text: "Where do I live?"
context: "My name is Sarah and I live in London"
example_title: "Location"
