Instructions to use maud-dr/baseline_3-seed_123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maud-dr/baseline_3-seed_123 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maud-dr/baseline_3-seed_123")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maud-dr/baseline_3-seed_123") model = AutoModelForSequenceClassification.from_pretrained("maud-dr/baseline_3-seed_123") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 15
Browse files
model.safetensors
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runs/Jun09_16-28-01_baseline3-try2-0-0/events.out.tfevents.1749486483.baseline3-try2-0-0.1.2
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