Text Classification
Transformers
ONNX
Safetensors
Transformers.js
bert
eu-ai-act
ai-governance
legal
devseis
research-note
text-embeddings-inference
Instructions to use Devseis/devseis-ai-act-classifier-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devseis/devseis-ai-act-classifier-v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Devseis/devseis-ai-act-classifier-v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Devseis/devseis-ai-act-classifier-v6") model = AutoModelForSequenceClassification.from_pretrained("Devseis/devseis-ai-act-classifier-v6", device_map="auto") - Transformers.js
How to use Devseis/devseis-ai-act-classifier-v6 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Devseis/devseis-ai-act-classifier-v6'); - Notebooks
- Google Colab
- Kaggle
Claude Opus 5.5
Devseis AI Act Classifier v6: weights, int8 ONNX, card and evaluation
7c594f6 verified Download config.json from Devseis/devseis-ai-act-classifier-v6: direct link, hf CLI and curl.
- Browser
- Download file 944 Bytes
-
https://huggingface.co/Devseis/devseis-ai-act-classifier-v6/resolve/main/config.json
- Command line
-
hf download hf://Devseis/devseis-ai-act-classifier-v6/config.json
-
curl -L -o config.json https://huggingface.co/Devseis/devseis-ai-act-classifier-v6/resolve/main/config.json
944 Bytes
| { | |
| "_name_or_path": "nlpaueb/legal-bert-small-uncased", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_ids": 0, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 512, | |
| "id2label": { | |
| "0": "minimal_risk", | |
| "1": "limited_risk", | |
| "2": "high_risk", | |
| "3": "prohibited" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2048, | |
| "label2id": { | |
| "high_risk": 2, | |
| "limited_risk": 1, | |
| "minimal_risk": 0, | |
| "prohibited": 3 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 6, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.44.2", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |