Instructions to use taln-ls2n/POET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taln-ls2n/POET with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="taln-ls2n/POET")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("taln-ls2n/POET") model = AutoModelForTokenClassification.from_pretrained("taln-ls2n/POET") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c677780d97c847c5405fb01caf941321d833a33cb75e7420d45215e172d6a58
- Size of remote file:
- 881 MB
- SHA256:
- 6d4765236b34abe2f3ff11d7ad1724fd097175f43d78574642c1b1329128f8b2
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