Text Generation
PEFT
Safetensors
English
granite
lora
meetings
action-items
decisions
information-extraction
local-inference
conversational
Instructions to use Privoid-ai/Privoid-Action-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Privoid-ai/Privoid-Action-1B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ibm-granite/granite-4.0-1b") model = PeftModel.from_pretrained(base_model, "Privoid-ai/Privoid-Action-1B") - Notebooks
- Google Colab
- Kaggle
File size: 1,422 Bytes
b68d688 | 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 | {
"_note": "ILLUSTRATIVE. Built by the deterministic finalizer from a hand-written model output; not a model prediction.",
"request_id": "0123456789abcdef",
"schema_version": "1.0",
"result": {
"schema_version": "1.0",
"meeting_id": "meeting-001",
"actions": [
{
"id": "A1",
"task": "Send the revised proposal.",
"owner_speaker_ids": [
"S2"
],
"owner_text": "Omar",
"assignment_status": "accepted",
"deadline_text": "Friday",
"conditions": [],
"status": "active",
"evidence": [
{
"turn_id": "T1",
"quote": "Omar, can you send the revised proposal by Friday?"
},
{
"turn_id": "T2",
"quote": "Yes, I will send it by Friday."
}
],
"needs_review": false,
"review_reasons": [],
"pipeline_flags": [
"deadline_not_normalized"
],
"owner_names": [
"Omar"
],
"deadline_normalized": null,
"deadline_normalization": {
"rule": null,
"reason": "bare_weekday_ambiguous"
}
}
],
"decisions": [],
"unresolved_requests": [],
"rejected_records": []
},
"validation": {
"raw_output_fully_valid": true,
"rejected_record_count": 0
}
} |