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:
- e88dc30f344732a93c5121f357ecd89f8b738d7246ec6217d25b1e1c5c766184
- Size of remote file:
- 17.1 MB
- SHA256:
- 3ca5f734b9407eb910ec87ecf2a0325a7c5c3436836ba12c600b0ce787b8c3a6
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