Feature Extraction
Transformers
PyTorch
TensorFlow
Safetensors
French
English
multilingual
xlm-roberta
sentence_embedding
search
roberta
xlm-r-distilroberta-base-paraphrase-v1
Instructions to use T-Systems-onsite/cross-en-fr-roberta-sentence-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T-Systems-onsite/cross-en-fr-roberta-sentence-transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="T-Systems-onsite/cross-en-fr-roberta-sentence-transformer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/cross-en-fr-roberta-sentence-transformer") model = AutoModel.from_pretrained("T-Systems-onsite/cross-en-fr-roberta-sentence-transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
Browse filesHi! A PR to add multilingual to the language tag to improve the referencing.
README.md
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---
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language:
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- fr
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- en
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license: mit
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tags:
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- sentence_embedding
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- search
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- pytorch
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- xlm-roberta
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- roberta
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- xlm-r-distilroberta-base-paraphrase-v1
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datasets:
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- stsb_multi_mt
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metrics:
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- Spearman
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- cosine similarity
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language:
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- fr
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- en
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- multilingual
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license: mit
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tags:
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- sentence_embedding
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- search
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- pytorch
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- xlm-roberta
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- roberta
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- xlm-r-distilroberta-base-paraphrase-v1
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datasets:
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- stsb_multi_mt
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metrics:
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- Spearman�s rank correlation
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- cosine similarity
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---
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