Instructions to use sonchuate/project-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sonchuate/project-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sonchuate/project-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sonchuate/project-2") model = AutoModelForSequenceClassification.from_pretrained("sonchuate/project-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95998cfe8d0f069cf5406b96051bf7967e9911dff61a0761b7aac30d12cd2a91
- Size of remote file:
- 4.92 kB
- SHA256:
- 3651de7b1dc261c2af3a7d229a655f9a46786d05c397c4c9c5e402ce4faafdd6
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