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pip install model2vec[inference]1from model2vec.inference import StaticModelPipeline
2
3model = StaticModelPipeline.from_pretrained(
4 "enguard/medium-guard-128m-xx-prompt-hate-speech-binary-moderation"
5)
6
7
8# Supports single texts. Format input as a single text:
9text = "Example sentence"
10
11model.predict([text])
12model.predict_proba([text])
13| Field | Value |
|---|---|
| Classifies | prompt-hate-speech-binary |
| Base Model | minishlab/potion-multilingual-128M |
| Precision | 0.8826 |
| Recall | 0.8153 |
| F1 | 0.8476 |
| True \ Predicted | FAIL | PASS |
|---|---|---|
| FAIL | 204 | 46 |
| PASS | 27 | 223 |
1{
2 "FAIL": {
3 "precision": 0.8826086956521739,
4 "recall": 0.8152610441767069,
5 "f1-score": 0.8475991649269311,
6 "support": 249.0
7 },
8 "PASS": {
9 "precision": 0.828996282527881,
10 "recall": 0.892,
11 "f1-score": 0.859344894026975,
12 "support": 250.0
13 },
14 "accuracy": 0.8537074148296593,
15 "macro avg": {
16 "precision": 0.8558024890900275,
17 "recall": 0.8536305220883534,
18 "f1-score": 0.8534720294769531,
19 "support": 499.0
20 },
21 "weighted avg": {
22 "precision": 0.8557487692371974,
23 "recall": 0.8537074148296593,
24 "f1-score": 0.8534837987445884,
25 "support": 499.0
26 }
27}| Text | True Label | Predicted Label |
|---|---|---|
| It really only works on bitchy women because they get insulted that I think they look old | FAIL | FAIL |
| You mean the Master of Mesopotamia | PASS | PASS |
| Oh fuck that's so stupid. You believed his father to be dead and you acted like a decent person. Fuck this gay earth | FAIL | FAIL |
| I'm taking it. Thanks for suggestion. | PASS | PASS |
| I think you fell for a person, not a gender. | PASS | PASS |
| It really only works on bitchy women because they get insulted that I think they look old | FAIL | FAIL |
| Dataset Size | Time (seconds) | Predictions/Second |
|---|---|---|
| 1 | 0.0003 | 3581.81 |
| 500 | 0.1562 | 3201.46 |
| 500 | 0.0502 | 9953.64 |
@software{minishlab2024model2vec,
author = {Stephan Tulkens and {van Dongen}, Thomas},
title = {Model2Vec: Fast State-of-the-Art Static Embeddings},
year = {2024},
publisher = {Zenodo},
doi = {10.5281/zenodo.17270888},
url = {https://github.com/MinishLab/model2vec},
license = {MIT}
}