Token Classification
SpanMarker
TensorBoard
Safetensors
Hebrew
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use iahlt/span-marker-xlm-roberta-base-nemo-mt-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use iahlt/span-marker-xlm-roberta-base-nemo-mt-he with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("iahlt/span-marker-xlm-roberta-base-nemo-mt-he") entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.") print(entities) - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from iahlt/span-marker-xlm-roberta-base-nemo-mt-he: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/iahlt/span-marker-xlm-roberta-base-nemo-mt-he/resolve/a12a6aeed278255cd3eeea7510e3d9bc7fe3103d/special_tokens_map.json
- Command line
-
hf download hf://iahlt/span-marker-xlm-roberta-base-nemo-mt-he@a12a6aeed278255cd3eeea7510e3d9bc7fe3103d/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/iahlt/span-marker-xlm-roberta-base-nemo-mt-he/resolve/a12a6aeed278255cd3eeea7510e3d9bc7fe3103d/special_tokens_map.json
280 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |