Token Classification
Transformers.js
ONNX
English
bert
slot-filling
ner
quantized
Eval Results (legacy)
Instructions to use jottypro/notes-slots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use jottypro/notes-slots with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'jottypro/notes-slots');
File size: 1,720 Bytes
d78d445 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | {
"focus_texts": [
"remind me to send the invoice to Yusuf tomorrow morning",
"book dentist appointment next Tuesday at 11",
"someday review ideas with @marta_notes"
],
"n_cases": 3,
"n_failed": 0,
"n_passed": 3,
"results": [
{
"missing_entities": [],
"passed": true,
"predicted_entities": [
{
"group": "PARTICIPANT",
"text": "yusuf"
},
{
"group": "DATETIME",
"text": "tomorrow morning"
}
],
"required_entities": [
{
"group": "PARTICIPANT",
"text": "Yusuf"
},
{
"group": "DATETIME",
"text": "tomorrow morning"
}
],
"text": "remind me to send the invoice to Yusuf tomorrow morning"
},
{
"missing_entities": [],
"passed": true,
"predicted_entities": [
{
"group": "DATETIME",
"text": "next tuesday at 11"
}
],
"required_entities": [
{
"group": "DATETIME",
"text": "next Tuesday at 11"
}
],
"text": "book dentist appointment next Tuesday at 11"
},
{
"missing_entities": [],
"passed": true,
"predicted_entities": [
{
"group": "PRIORITY",
"text": "someday"
},
{
"group": "PARTICIPANT",
"text": "@marta_notes"
}
],
"required_entities": [
{
"group": "PRIORITY",
"text": "someday"
},
{
"group": "PARTICIPANT",
"text": "@marta_notes"
}
],
"text": "someday review ideas with @marta_notes"
}
]
}
|