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
Download preview.PNG from taln-ls2n/POET: direct link, hf CLI and curl.
- Browser
- Download file 46 kB
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https://huggingface.co/taln-ls2n/POET/resolve/main/preview.PNG
- Command line
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hf download hf://taln-ls2n/POET/preview.PNG
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curl -L -o preview.PNG https://huggingface.co/taln-ls2n/POET/resolve/main/preview.PNG
46 kB