Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ViktorDo/DistilBERT-POWO_Climber_Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViktorDo/DistilBERT-POWO_Climber_Scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ViktorDo/DistilBERT-POWO_Climber_Scratch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ViktorDo/DistilBERT-POWO_Climber_Scratch") model = AutoModelForSequenceClassification.from_pretrained("ViktorDo/DistilBERT-POWO_Climber_Scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3500
Browse files
pytorch_model.bin
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runs/Jan24_18-14-44_28c77d875dc8/events.out.tfevents.1674584093.28c77d875dc8.692.11
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