Instructions to use yevhenkost/classifier__generated_data_only__meansdetection_albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yevhenkost/classifier__generated_data_only__meansdetection_albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yevhenkost/classifier__generated_data_only__meansdetection_albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yevhenkost/classifier__generated_data_only__meansdetection_albert") model = AutoModelForSequenceClassification.from_pretrained("yevhenkost/classifier__generated_data_only__meansdetection_albert") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": false, "remove_space": true, "keep_accents": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false, "__type": "AddedToken"}, "sp_model_kwargs": {}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "means-model", "tokenizer_class": "AlbertTokenizer"} |