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xlm-roberta
sentence_embedding
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roberta
xlm-r-distilroberta-base-paraphrase-v1
paraphrase
text-embeddings-inference
Instructions to use T-Systems-onsite/cross-en-de-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-de-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-de-roberta-sentence-transformer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/cross-en-de-roberta-sentence-transformer") model = AutoModel.from_pretrained("T-Systems-onsite/cross-en-de-roberta-sentence-transformer", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
warnings-fix
#10 opened almost 2 years ago
by
jimmymeister
Error when deploying with huggingface text-embeddings-inference
👍 1
1
#9 opened almost 2 years ago
by
leversberg
Request: DOI
1
#8 opened about 2 years ago
by
KimTang
`IndexError: index out of range in self` when creating embeddings
4
#7 opened almost 3 years ago
by
guido1893
Error
6
#6 opened almost 3 years ago
by
jdjayakaran
Missing Pooling Layer (sentence transformer) Definitions
3
#2 opened over 3 years ago
by
jannikmi