Token Classification
SpanMarker
PyTorch
TensorBoard
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec") - Notebooks
- Google Colab
- Kaggle
Fix broken URLs
Browse files
README.md
CHANGED
|
@@ -142,14 +142,14 @@ model-index:
|
|
| 142 |
|
| 143 |
# SpanMarker with bert-base-uncased on Inspec
|
| 144 |
|
| 145 |
-
This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [Inspec](https://huggingface.co/datasets/midas/inspec) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [bert-base-uncased](https://huggingface.co/
|
| 146 |
|
| 147 |
## Model Details
|
| 148 |
|
| 149 |
### Model Description
|
| 150 |
|
| 151 |
- **Model Type:** SpanMarker
|
| 152 |
-
- **Encoder:** [bert-base-uncased](https://huggingface.co/
|
| 153 |
- **Maximum Sequence Length:** 256 tokens
|
| 154 |
- **Maximum Entity Length:** 8 words
|
| 155 |
- **Training Dataset:** [Inspec](https://huggingface.co/datasets/midas/inspec)
|
|
|
|
| 142 |
|
| 143 |
# SpanMarker with bert-base-uncased on Inspec
|
| 144 |
|
| 145 |
+
This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [Inspec](https://huggingface.co/datasets/midas/inspec) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the underlying encoder. See [train.py](train.py) for the training script.
|
| 146 |
|
| 147 |
## Model Details
|
| 148 |
|
| 149 |
### Model Description
|
| 150 |
|
| 151 |
- **Model Type:** SpanMarker
|
| 152 |
+
- **Encoder:** [bert-base-uncased](https://huggingface.co/bert-base-uncased)
|
| 153 |
- **Maximum Sequence Length:** 256 tokens
|
| 154 |
- **Maximum Entity Length:** 8 words
|
| 155 |
- **Training Dataset:** [Inspec](https://huggingface.co/datasets/midas/inspec)
|