Instructions to use nodd-repo/comment-moderation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use nodd-repo/comment-moderation with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'nodd-repo/comment-moderation');
Download encoder/config.json from nodd-repo/comment-moderation: direct link, hf CLI and curl.
- Browser
- Download file 899 Bytes
-
https://huggingface.co/nodd-repo/comment-moderation/resolve/main/encoder/config.json
- Command line
-
hf download hf://nodd-repo/comment-moderation/encoder/config.json
-
curl -L -o config.json https://huggingface.co/nodd-repo/comment-moderation/resolve/main/encoder/config.json
899 Bytes
| { | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": null, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 384, | |
| "id2label": { | |
| "0": "ok", | |
| "1": "spam", | |
| "2": "toxic" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "is_decoder": false, | |
| "label2id": { | |
| "ok": 0, | |
| "spam": 1, | |
| "toxic": 2 | |
| }, | |
| "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", | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.17.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |