Instructions to use Data-Lab/ml-topics-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/ml-topics-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Data-Lab/ml-topics-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/ml-topics-classifier") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/ml-topics-classifier") - Notebooks
- Google Colab
- Kaggle
Upload TextClassificationPipeline
Browse files- config.json +6 -1
- model.safetensors +2 -2
- tokenizer_config.json +2 -43
config.json
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"dtype": "float32",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"cancel_order": 0,
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"change_address": 1,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 55083
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{
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"add_cross_attention": false,
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": null,
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"classifier_dropout": null,
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"directionality": "bidi",
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"dtype": "float32",
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"eos_token_id": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"label2id": {
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"cancel_order": 0,
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"change_address": 1,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"tie_word_embeddings": true,
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"transformers_version": "5.5.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 55083
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:e36ff4225a1c4210f1b2897d1b9fb12ee6774aab8f947ac4de6b6603f9d33f80
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size 513459240
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tokenizer_config.json
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{
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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"1": {
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"content": "[UNK]",
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"normalized": false,
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"special": true
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"2": {
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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"normalized": false,
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"lstrip": false,
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"normalized": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"
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"mask_token": "[MASK]",
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"max_length": 256,
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"model_max_length": 512,
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{
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"backend": "tokenizers",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"is_local": true,
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"mask_token": "[MASK]",
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"max_length": 256,
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"model_max_length": 512,
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