Instructions to use Cleverlytics/offres_classification_bert_promo_classification_new_train_data_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cleverlytics/offres_classification_bert_promo_classification_new_train_data_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cleverlytics/offres_classification_bert_promo_classification_new_train_data_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cleverlytics/offres_classification_bert_promo_classification_new_train_data_v2") model = AutoModelForSequenceClassification.from_pretrained("Cleverlytics/offres_classification_bert_promo_classification_new_train_data_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 516c106e7ddafa46b268749393bbb757abc1d2f08ec02e2f48e3970664fa445b
- Size of remote file:
- 590 MB
- SHA256:
- ac580a9ce5bc386d02f19cef986ad5b02d6775166174137105c2dc6cdc3129c8
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