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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8b57a327d0075323bf9d867e6674a6fe81a78b242914be60d579370ae1eaedc
- Size of remote file:
- 5.37 kB
- SHA256:
- 3a98b909936e011f228aa6dc75aaa55f8e6782fa883702c1879213c250eedce4
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