Instructions to use ViktorDo/DistilBERT-POWO_Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViktorDo/DistilBERT-POWO_Scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ViktorDo/DistilBERT-POWO_Scratch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ViktorDo/DistilBERT-POWO_Scratch") model = AutoModelForMaskedLM.from_pretrained("ViktorDo/DistilBERT-POWO_Scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
pytorch_model.bin
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runs/Jan24_15-00-18_28c77d875dc8/events.out.tfevents.1674572533.28c77d875dc8.692.0
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