Instructions to use aeroland/ace_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aeroland/ace_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aeroland/ace_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aeroland/ace_model") model = AutoModelForTokenClassification.from_pretrained("aeroland/ace_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aeroland/ace_model: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/aeroland/ace_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aeroland/ace_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aeroland/ace_model/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- a7ac4147228dabaa6e14be420ffeb41fe1a9e5aeb3f82b0be32212a69fc13dc1
- Size of remote file:
- 496 MB
- SHA256:
- 1000caebf7af436f9d24f50a4169d4373172df775aee52f2d2a41588c03fded5
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