Instructions to use Data-Lab/multilingual-e5-small_classification_v0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/multilingual-e5-small_classification_v0.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Data-Lab/multilingual-e5-small_classification_v0.3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/multilingual-e5-small_classification_v0.3") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/multilingual-e5-small_classification_v0.3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fbea85ab9c2870549de8622d43ab00d79aa909a055d1f990800785c19e937ee
- Size of remote file:
- 471 MB
- SHA256:
- 2b4d904e3852d0d13aa44f9502ee616abc191623bf65e73fb730441537109996
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