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:
- ec35cb3d2d67d2009db290939ebddab37a83e99ac702abcf913ac7985fb15851
- Size of remote file:
- 3.39 kB
- SHA256:
- e95a427d3ef56d7cf31fe47ebe3dd52201ab6de4ea685f8a68c64fc9a82ca2fd
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