Instructions to use Cleverlytics/offres_classification_bert_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cleverlytics/offres_classification_bert_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cleverlytics/offres_classification_bert_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cleverlytics/offres_classification_bert_v1") model = AutoModelForSequenceClassification.from_pretrained("Cleverlytics/offres_classification_bert_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b5fdd23190bbd991351bb99abcda9029621cccb7d7fb322ca42f50676efa16f
- Size of remote file:
- 5.3 kB
- SHA256:
- 40eae7da2ed50d30e8903edc09264076a30acb323c805b414d54f290a22e6889
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