Instructions to use hugo/secret-project-ms-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hugo/secret-project-ms-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hugo/secret-project-ms-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hugo/secret-project-ms-2") model = AutoModelForSequenceClassification.from_pretrained("hugo/secret-project-ms-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0bd35e326718b0718f0dfbb92c6b671e77bcc8d8f34033b36b826ee6df8d859
- Size of remote file:
- 2.93 kB
- SHA256:
- 4c48e67675d5e9521dc5b5959e1196314e0bd4bda34b3b148674550213dc4740
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