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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35114106820a41a26ff67167afc855a6aa5c331c33a413869462ace7ae56b904
- Size of remote file:
- 590 MB
- SHA256:
- 1c3d235c2279f73d5c0212039ed101b62fa5d025357cc20e44923d9938096f22
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