Instructions to use Cleverlytics/offres_classification_bert_promo_classification_new_train_data_v3 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_v3 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_v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cleverlytics/offres_classification_bert_promo_classification_new_train_data_v3") model = AutoModelForSequenceClassification.from_pretrained("Cleverlytics/offres_classification_bert_promo_classification_new_train_data_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9146b9f788a4129f5d25e5f0f8aaf81e42c0b5355f12329fc3070242b36644b9
- Size of remote file:
- 1.48 GB
- SHA256:
- ecc9e26bfb394708cdd91f5daa97c281e709a7d714cd0ca8a465629c9dad3f30
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