Instructions to use sangmini/FC_baseline_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sangmini/FC_baseline_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sangmini/FC_baseline_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sangmini/FC_baseline_base") model = AutoModelForSequenceClassification.from_pretrained("sangmini/FC_baseline_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c46578bd0ef712c539bbbbca3dd21418195b3d8611b9295d50e74ebab2bef4f
- Size of remote file:
- 2.24 GB
- SHA256:
- 06374e2d48e629d2573e74c7a090e73bc64fc755b1626b90b4b9043b5f73cb3a
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