Token Classification
Transformers
English
frame-semantics
framenet
semantic-parsing
srl
argument-extraction
english
Instructions to use texturejc/texture-frames-args with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use texturejc/texture-frames-args with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="texturejc/texture-frames-args")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("texturejc/texture-frames-args", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41b688a064388f32d2056f9da5038d508ebb6a2e4e1e2b54f915373a32a6f4f0
- Size of remote file:
- 1.75 GB
- SHA256:
- 164e7915f7738f41fd701a5f91668e597fd5a7193a43f4099005a12ff1e1b319
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