Instructions to use ViktorDo/DistilBERT-POWO_Lifecycle_Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViktorDo/DistilBERT-POWO_Lifecycle_Scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ViktorDo/DistilBERT-POWO_Lifecycle_Scratch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ViktorDo/DistilBERT-POWO_Lifecycle_Scratch") model = AutoModelForSequenceClassification.from_pretrained("ViktorDo/DistilBERT-POWO_Lifecycle_Scratch") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
pytorch_model.bin
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runs/Jan24_18-43-14_28c77d875dc8/events.out.tfevents.1674585803.28c77d875dc8.692.13
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