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:
- fe1d248c9e443c4547a025ae4e2b83c29c4b28b03bc679c543d104bdf77a9595
- Size of remote file:
- 440 MB
- SHA256:
- 120b1848d0b093d386dd1ac152302c12ddd496e31f321994e33b0c01384dc0ce
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