Instructions to use LysandreJik/test-upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LysandreJik/test-upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LysandreJik/test-upload")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LysandreJik/test-upload") model = AutoModelForSequenceClassification.from_pretrained("LysandreJik/test-upload") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15086e99ff871becbbff550fd51b29634aa168cfdc6f43c2978534698c7250f8
- Size of remote file:
- 263 MB
- SHA256:
- 20e3c415c8914eb754835e2b7debc3042ea09a340277bec550bfbd00b9150f34
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