Instructions to use Prience91/MLM_model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prience91/MLM_model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Prience91/MLM_model_output")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Prience91/MLM_model_output") model = AutoModelForMaskedLM.from_pretrained("Prience91/MLM_model_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle