Instructions to use pediberto/autonlp-testing-504313966 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pediberto/autonlp-testing-504313966 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pediberto/autonlp-testing-504313966")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pediberto/autonlp-testing-504313966") model = AutoModelForSequenceClassification.from_pretrained("pediberto/autonlp-testing-504313966") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16b77ddb23ad5d4c6bd4feddac06ad5fd2501c06490e6ecedf4719c53fc5c0c3
- Size of remote file:
- 540 MB
- SHA256:
- acf757b0603d329553eb81d6e1227e65025813c0aceb4460df1cb6f5c9370c52
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