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xlm-roberta
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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 (#2)
Browse files- Add multilingual to the language tag (fc450c946654a5e00f03d94c72805eeb8efcb772)
- Fix unicode (b2da984a13b0b89f0bc5d925208c86ff175a9849)
Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>
README.md
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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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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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