snip-igel-10
snip-igel-10 Version 1.0 / 13 April 2023
An adapter for IGEL to generate german news snippets with human written instructions
See snip-igel-500 for the full model description. We repeated fine-tuning with gradually increased amounts of training data, to see the difference.
Environmental Impact
Carbon emissions were estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
Hardware Type: RTX 4090
Hours used: 1min 59s
Cloud Provider: Vast.ai
Compute Region: Poland
Carbon Emitted: ~0.05 kg of CO2e
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Inference API (serverless) has been turned off for this model.