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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c2d5d0f5bdcf0419de68f801a5c403ff69eefb47bcbd19ced6ac83a33dd1b25
- Size of remote file:
- 440 MB
- SHA256:
- 995aba8183b98bcbeeeb548ea48ea9daea4f9143c62c0097738df40bdc21aa54
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