Text Classification
Transformers
Safetensors
English
German
xlm-roberta
mental-health
knowledge-graph
text-embeddings-inference
Instructions to use Niklas1102/mentalkg-xlmr-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Niklas1102/mentalkg-xlmr-edge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Niklas1102/mentalkg-xlmr-edge")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Niklas1102/mentalkg-xlmr-edge") model = AutoModelForSequenceClassification.from_pretrained("Niklas1102/mentalkg-xlmr-edge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
upload model.safetensors
Browse files- model.safetensors +3 -0
model.safetensors
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