Instructions to use ldenoue/punctuator-tiny-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldenoue/punctuator-tiny-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ldenoue/punctuator-tiny-multilingual")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ldenoue/punctuator-tiny-multilingual") model = AutoModelForTokenClassification.from_pretrained("ldenoue/punctuator-tiny-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from ldenoue/punctuator-tiny-multilingual: direct link, hf CLI and curl.
- Browser
- Download file 1.37 kB
-
https://huggingface.co/ldenoue/punctuator-tiny-multilingual/resolve/main/config.json
- Command line
-
hf download hf://ldenoue/punctuator-tiny-multilingual/config.json
-
curl -L -o config.json https://huggingface.co/ldenoue/punctuator-tiny-multilingual/resolve/main/config.json
1.37 kB
| { | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 384, | |
| "id2label": { | |
| "0": "LOWER|NONE", | |
| "1": "LOWER|COMMA", | |
| "2": "LOWER|PERIOD", | |
| "3": "LOWER|QUESTION", | |
| "4": "LOWER|EXCLAMATION", | |
| "5": "CAP|NONE", | |
| "6": "CAP|COMMA", | |
| "7": "CAP|PERIOD", | |
| "8": "CAP|QUESTION", | |
| "9": "CAP|EXCLAMATION", | |
| "10": "UPPER|NONE", | |
| "11": "UPPER|COMMA", | |
| "12": "UPPER|PERIOD", | |
| "13": "UPPER|QUESTION", | |
| "14": "UPPER|EXCLAMATION" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "label2id": { | |
| "CAP|COMMA": 6, | |
| "CAP|EXCLAMATION": 9, | |
| "CAP|NONE": 5, | |
| "CAP|PERIOD": 7, | |
| "CAP|QUESTION": 8, | |
| "LOWER|COMMA": 1, | |
| "LOWER|EXCLAMATION": 4, | |
| "LOWER|NONE": 0, | |
| "LOWER|PERIOD": 2, | |
| "LOWER|QUESTION": 3, | |
| "UPPER|COMMA": 11, | |
| "UPPER|EXCLAMATION": 14, | |
| "UPPER|NONE": 10, | |
| "UPPER|PERIOD": 12, | |
| "UPPER|QUESTION": 13 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "4.57.6", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 32000 | |
| } | |