Text Classification
Transformers
Safetensors
Laya
PyTorch
English
afm-d
afm-de
decision
system-1
modernbert
rlcd
Instructions to use ariacompute/afm-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ariacompute/afm-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ariacompute/afm-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ariacompute/afm-de", device_map="auto") - Laya
How to use ariacompute/afm-de with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle