Instructions to use gjonesQ02/WO_MaskedModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gjonesQ02/WO_MaskedModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gjonesQ02/WO_MaskedModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gjonesQ02/WO_MaskedModel") model = AutoModelForMaskedLM.from_pretrained("gjonesQ02/WO_MaskedModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
Verified signature04da384 -
End of training
Verified signaturefa820b5 -
End of training
Verified signature3e7bedb -
Training in progress, step 3500
Verified signature0e6cb3e -
Training in progress, step 2000
Verified signature7795f6e -
Training in progress, step 1000
Verified signature1c03de8 -
Training in progress, step 500
Verified signatured1a0153 -
initial commit
Verified signatureb12069e