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:
- 7f2bbf480ae5b245c40a44b248c8d71201bbc36e64b0f88e95807e7434856843
- Size of remote file:
- 4.79 kB
- SHA256:
- ac7dee94fe918c708973cdc10697eabf22ed22c409e765f133c0551a22a7853a
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