Instructions to use Data-Lab/multilingual-e5-base_classification_v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/multilingual-e5-base_classification_v1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Data-Lab/multilingual-e5-base_classification_v1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/multilingual-e5-base_classification_v1.1") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/multilingual-e5-base_classification_v1.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8b84c1828a88510b8b7e265a16a6e1799952cc35693462be8b10a6c4e666015
- Size of remote file:
- 1.11 GB
- SHA256:
- ba1311136664a76b5735c1a3d6f1aedcc8b987db10050a88dbf1f365d9e7a0a9
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