snip-igel-100

snip-igel-100 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: 21min 57s
Cloud Provider: Vast.ai
Compute Region: Poland
Carbon Emitted: ~0.11 kg of CO2e

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Inference API (serverless) has been turned off for this model.