Instructions to use gijs/aces-roberta-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gijs/aces-roberta-13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gijs/aces-roberta-13")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gijs/aces-roberta-13") model = AutoModelForTokenClassification.from_pretrained("gijs/aces-roberta-13") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a07d9fe3969763caf98069decc73202872a6861e5ea540ab6e5638d3577bcc05
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size 1417346100
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