Instructions to use gijs/roberta-large-aces with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gijs/roberta-large-aces with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gijs/roberta-large-aces")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gijs/roberta-large-aces") model = AutoModelForTokenClassification.from_pretrained("gijs/roberta-large-aces", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gijs/roberta-large-aces: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/gijs/roberta-large-aces/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://gijs/roberta-large-aces@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/gijs/roberta-large-aces/resolve/refs%2Fpr%2F2/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.