Instructions to use amrithanandini/bert-relay-decoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amrithanandini/bert-relay-decoding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amrithanandini/bert-relay-decoding")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("amrithanandini/bert-relay-decoding") model = AutoModelForTokenClassification.from_pretrained("amrithanandini/bert-relay-decoding") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f6213bdf62506057020c18cae05daa969267541ee2731d96d34053f997d65bc
- Size of remote file:
- 1.06 kB
- SHA256:
- 3e95f78bbbb9b613376b4c17ce129da2369a70a8610283ee10e8332a35cb2fc8
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