Instructions to use Data-Lab/multilingual-e5-base_classification_v0.4 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_v0.4 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_v0.4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/multilingual-e5-base_classification_v0.4") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/multilingual-e5-base_classification_v0.4") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b801d5f892927df4e8659d3850d16d303b4ed6597f8f35af1c05dd1a0717bb1a
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size 1112208084
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