| Feature | Description |
| --- | --- |
| **Name** | `en_qspot_import_v3_240524` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.5.2,<3.6.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (17 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `commodity`, `company`, `delivery_cap`, `delivery_location`, `delivery_port`, `delivery_state`, `incoterms`, `measures`, `package_type`, `pickup_cap`, `pickup_location`, `pickup_port`, `pickup_state`, `quantity`, `stackable`, `volume`, `weight` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 97.57 |
| `ENTS_P` | 97.39 |
| `ENTS_R` | 97.76 |
| `TOK2VEC_LOSS` | 62559.46 |
| `NER_LOSS` | 64506.23 |
{"language": ["en"], "tags": ["spacy", "token-classification"]}
spacy token-classification en model-index region:us
TAGS
#spacy #token-classification #en #model-index #region-us 


### Label Scheme



View label scheme (17 labels for 1 components)


### Accuracy




### Label Scheme



View label scheme (17 labels for 1 components) ### Accuracy
TAGS
#spacy #token-classification #en #model-index #region-us 
 ### Label Scheme



View label scheme (17 labels for 1 components) ### Accuracy