Instructions to use hugo/secret-project-all-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hugo/secret-project-all-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hugo/secret-project-all-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hugo/secret-project-all-1") model = AutoModelForSequenceClassification.from_pretrained("hugo/secret-project-all-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6e3bb3df0662ba33b44805774e4a31214a206f1710956b7eefcd6c67efcacc9
- Size of remote file:
- 90.9 MB
- SHA256:
- c12d092b63e47fc6529215f97c5287ba07fc68c217313019f84e6c35eb3aa0cb
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