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
File size: 437 Bytes
1aa8735 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"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]"
}
|