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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a152b0ca381f5fd1a8a85ac383b8f92a64f2b2e49d6c997a091a6563a37028f
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size 266640616
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