Token Classification
Transformers
Safetensors
English
bert
transcript-cleanup
experimental
keep-delete
Instructions to use arach/transcript-cleanup-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arach/transcript-cleanup-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arach/transcript-cleanup-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arach/transcript-cleanup-tiny") model = AutoModelForTokenClassification.from_pretrained("arach/transcript-cleanup-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from arach/transcript-cleanup-tiny: direct link, hf CLI and curl.
- Browser
- Download file 792 Bytes
-
https://huggingface.co/arach/transcript-cleanup-tiny/resolve/main/config.json
- Command line
-
hf download hf://arach/transcript-cleanup-tiny/config.json
-
curl -L -o config.json https://huggingface.co/arach/transcript-cleanup-tiny/resolve/main/config.json
792 Bytes
| { | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": null, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 128, | |
| "id2label": { | |
| "0": "KEEP", | |
| "1": "DELETE" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 512, | |
| "is_decoder": false, | |
| "label2id": { | |
| "DELETE": 1, | |
| "KEEP": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 2, | |
| "num_hidden_layers": 2, | |
| "pad_token_id": 0, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.22.2", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |