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 training_args.bin from taln-ls2n/POET: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/taln-ls2n/POET/resolve/main/training_args.bin
- Command line
-
hf download hf://taln-ls2n/POET/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/taln-ls2n/POET/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 91c1afb9d8a14601a7acb86cf64faa2677cd8c23a5ee9a23bea24d05852bfce6
- Size of remote file:
- 2.86 kB
- SHA256:
- 6f69d3406e6a240d9dca8d53ded465b0836fb3e46b9706b94b6e58db548f7051
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