Must choose from bert_base_cased, bert_base_uncased, bert_base_multilingual_cased, bert_base_german_cased, bert_large_cased, bert_large_uncased, distilbert_base_cased, distilbert_base_uncased, roberta_base, roberta_large, distilroberta_base, xlm_roberta_base, xlm_roberta_large, xlnet_ba...
Supports Binary Classification, Multiclass Classification, and Multilabel Classification. Supported model types: BERT RoBERTa XLNet XLM DistilBERT ALBERT CamemBERT @manueltonneau Minimal Start for Binary Classification from simpletransformers.classification import ClassificationModel import pandas as pd # Train ...
Create a MultiModalClassificationModel. from simpletransformers.classification.multi_modal_classification_model import MultiModalClassificationModel model = MultiModalClassificationModel("bert", "bert-base-uncased") Available arguments: """ Args: model_type: The type of model (bert, xlnet, xlm, roberta, ...
Must choose from bert_base_cased, bert_base_uncased, bert_base_multilingual_cased, bert_base_german_cased, bert_large_cased, bert_large_uncased, distilbert_base_cased, distilbert_base_uncased, roberta_base, roberta_large, distilroberta_base, xlm_roberta_base, xlm_roberta_large, xlnet_b...
Must choose from bert_base_cased, bert_base_uncased, bert_base_multilingual_cased, bert_base_german_cased, bert_large_cased, bert_large_uncased, distilbert_base_cased, distilbert_base_uncased, roberta_base, roberta_large, distilroberta_base, xlm_roberta_base, xlm_roberta_large, xlnet_b...
model_nameName of one of the supported models.Must choose frombert_base_cased, bert_base_uncased, bert_base_multilingual_cased, bert_base_german_cased, bert_large_cased, bert_large_uncased, distilbert_base_cased, distilbert_base_uncased, roberta_base, roberta_large, distil...
MultiLabelClassificationModel simpletransformers.ner - Includes all Named Entity Recognition models NERModel Text Classification Supports Binary Classification, Multiclass Classification, and Multilabel Classification. Supported model types: BERT RoBERTa XLNet XLM DistilBert Minimal Start for Binary Classificati...
This model can also be used for any other NLP task involving token level classification. Make sure you pass in your list of labels to the model if they are different from the defaults. Supported model types: BERT RoBERTa DistilBERT CamemBERT XLM-RoBERTa model = NERModel('bert', 'bert-base...
model_nameName of one of the supported models.Must choose frombert_base_cased, bert_base_uncased, bert_base_multilingual_cased, bert_base_german_cased, bert_large_cased, bert_large_uncased, distilbert_base_cased, distilbert_base_uncased, roberta_base, roberta_large, distilroberta_base, ...
RoBERTa XLNet XLM DistilBERT ALBERT CamemBERT @manueltonneau Minimal Start for Binary Classification from simpletransformers.classification import ClassificationModel import pandas as pd # Train and Evaluation data needs to be in a Pandas Dataframe of two columns. The first column is the text with type...