Instructions to use LysandreJik/test-upload1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LysandreJik/test-upload1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LysandreJik/test-upload1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LysandreJik/test-upload1") model = AutoModelForSequenceClassification.from_pretrained("LysandreJik/test-upload1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df3e45a623af6b981d1683bd78c5a63459a9e53edcf6464266e41c53c7ff8709
- Size of remote file:
- 263 MB
- SHA256:
- 0e3b921eb7e1971e94ffc75809d441c00f8954e8a75fad7181f7ff9de34d8cfb
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