Instructions to use approach0/backbone-cotmae-600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use approach0/backbone-cotmae-600 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="approach0/backbone-cotmae-600")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("approach0/backbone-cotmae-600") model = AutoModelForPreTraining.from_pretrained("approach0/backbone-cotmae-600", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 16 Bytes
9ad019e | 1 | ["cotmae", 2, 6] |