Instructions to use Pclanglais/transcript-stances with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pclanglais/transcript-stances with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pclanglais/transcript-stances")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pclanglais/transcript-stances") model = AutoModelForSequenceClassification.from_pretrained("Pclanglais/transcript-stances") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20f70ce7325713d1e7108169c08a5ca80093e53881b40f2374899177348e0b3b
- Size of remote file:
- 1.06 kB
- SHA256:
- 8e3e8023a38c6f76ee66e43f2cf27030a12e811674e1a2db87743bf00d60e35a
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