Token Classification
Transformers
German
frame-semantics
framenet
salsa
german
semantic-parsing
srl
argument-extraction
Instructions to use texturejc/texture-frames-de-args with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use texturejc/texture-frames-de-args with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="texturejc/texture-frames-de-args")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("texturejc/texture-frames-de-args", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| { | |
| "content": "<t>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| { | |
| "content": "</t>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| ], | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |