Text Classification
Transformers
Safetensors
German
English
eurobert
counseling
mental-health
psychosocial
multilingual
custom_code
Eval Results (legacy)
Instructions to use th-nuernberg/eurobert610m-online-counseling-oncoco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use th-nuernberg/eurobert610m-online-counseling-oncoco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="th-nuernberg/eurobert610m-online-counseling-oncoco", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("th-nuernberg/eurobert610m-online-counseling-oncoco", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("th-nuernberg/eurobert610m-online-counseling-oncoco", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K