ChrisLalk/German-Emotions
https://huggingface.co/ChrisLalk/German-Emotions# German-Emotions This model is designed to infer 27 emotions and a neutral category from German text. It is a fine-tuned version of FacebookAI/xlm-roberta-base, trained on the German translation of the GoEmotions dataset.
Sourced from
- HuggingFace — ChrisLalk/German-Emotions
Related resources
digitalhealth-healthyliving/MediFlow
by digitalhealth-healthylivingMediFlow se trata de un modelo inicializado con xlnet-large-cased y adaptado con preguntas y especialidades para poder realizar Derivaciones Automatizadas en Servicios Hospitalarios. El dataset se puede encontrar de manera pública y se trata de MedDialog EN.
This is a MobileViT (Small) model fine-tuned on the Processed Diabetic Retinopathy dataset.
The Clinical Assertion and Negation Classification BERT is introduced in the paper Assertion Detection in Clinical Notes: Medical Language Models to the Rescue? . The model helps structure information in clinical patient letters by classifying medical conditions mentioned in the letter into…
This project fine-tunes the meta-llama/Llama-4-Scout-17B-16E-Instruct model using a medical reasoning dataset (FreedomIntelligence/medical-o1-reasoning-SFT) with 4-bit quantization for memory-efficient training.
Edoardo-Coppola/HuBERT-ECG-SFT-CardioLearning-large
by Edoardo-CoppolaOriginal code at (https://github.com/Edoar-do/HuBERT-ECG)
Edoardo-BS/HuBERT-ECG-SFT-CardioLearning-large
by Edoardo-BSOriginal code at (https://github.com/Edoar-do/HuBERT-ECG)