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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gijs/roberta-large-aces") model = AutoModelForTokenClassification.from_pretrained("gijs/roberta-large-aces") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 186ab679f453b219e6d053fdc1421f913a1a9c69c63a46067f0985f29f4a5ef7
- Size of remote file:
- 3.45 kB
- SHA256:
- 3fb8f692543f4ccf695640fd765e20707b8f7becd9a753de28924ec0b730bb6c
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