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:
- 5d860058ef801b8df0e900dcacb1600f74ed65427557d2112f070d5224f22c89
- Size of remote file:
- 2.93 kB
- SHA256:
- 8c9e96fcfef9dd1f2261d5a1173091dcc14362c8d5f61bd4887d59bf545994a8
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