Instructions to use gijs/aces-roberta-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gijs/aces-roberta-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gijs/aces-roberta-10")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gijs/aces-roberta-10") model = AutoModelForTokenClassification.from_pretrained("gijs/aces-roberta-10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3705bc437e470ba440657e4e70bb239ca07eff961844a231be53b1a093212bf2
- Size of remote file:
- 3.52 kB
- SHA256:
- 5525f073d474ccccf1cac91cd6c62e3b33e942964c593191bbecf11e3aeb4e27
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