Instructions to use ugiugi/distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ugiugi/distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ugiugi/distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ugiugi/distilbert") model = AutoModelForMaskedLM.from_pretrained("ugiugi/distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40000
Browse files
pytorch_model.bin
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runs/May28_08-49-01_8ec55c12ff49/events.out.tfevents.1685263768.8ec55c12ff49.6357.0
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