Instructions to use hemanth11/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hemanth11/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hemanth11/dummy")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hemanth11/dummy") model = AutoModelForTokenClassification.from_pretrained("hemanth11/dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cddbbca4c1ca2617826c9879a04387a61fda5489ccbd9b58791e6d172ecb4f8
- Size of remote file:
- 4.03 kB
- SHA256:
- 9a1414cf1d7c2b07976a29b2a4fc9325ea51634f14ddfec6a821921255251621
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