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:
- 7113788d00d74afc4e9b34c4f90a4ca882dd7c9ad900afa6ffded800bb6568e7
- Size of remote file:
- 14.2 kB
- SHA256:
- b27d5e2bac4f4212124dac085d413abff5d4596c2fcfae5a435b7ae07eaf9677
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