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:
- 91c1afb9d8a14601a7acb86cf64faa2677cd8c23a5ee9a23bea24d05852bfce6
- Size of remote file:
- 2.86 kB
- SHA256:
- 6f69d3406e6a240d9dca8d53ded465b0836fb3e46b9706b94b6e58db548f7051
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