Instructions to use Shadman-Rohan/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadman-Rohan/outputs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Shadman-Rohan/outputs")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/outputs") model = AutoModelForTokenClassification.from_pretrained("Shadman-Rohan/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a05abf01407b665b417f9a08077f2a6014bcf3255016c11b9e434382cb46bf99
- Size of remote file:
- 440 MB
- SHA256:
- 82b4cb55345132d3a91795293e61371191965dc66464b89c03c44d4ef1a23347
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