Instructions to use Schnitzl/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Schnitzl/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Schnitzl/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Schnitzl/dummy-model") model = AutoModelForMaskedLM.from_pretrained("Schnitzl/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 43 Bytes
39d7ef5 | 1 2 3 | # FIRST TESTS
testing out readme creation. |