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SentenceTransformers Documentation — Sentence Transformers documentation
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SentenceTransformers Documentation — Sentence Transformers documentation
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| H1 | H2 | H3 | H4 | H5 | H6 |
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- [H1] SentenceTransformers Documentation
- [H1] Usage
- [H1] What Next?
- [H1] Citing
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| Anker | Type | Juice |
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| Editable Install | Intern | Sender Juice |
| Install PyTorch with CUDA support | Intern | Sender Juice |
| Quickstart | Intern | Sender Juice |
| Sentence Transformer | Intern | Sender Juice |
| Cross Encoder | Intern | Sender Juice |
| Sparse Encoder | Intern | Sender Juice |
| Next Steps | Intern | Sender Juice |
| Migration Guide | Intern | Sender Juice |
| Migrating from v4.x to v5.x | Intern | Sender Juice |
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| Migrating from v3.x to v4.x | Intern | Sender Juice |
| Migration for CrossEncoder evaluators | Intern | Sender Juice |
| Migrating from v2.x to v3.x | Intern | Sender Juice |
| Usage | Intern | Sender Juice |
| Computing Embeddings | Intern | Sender Juice |
| Initializing a Sentence Transformer Model | Intern | Sender Juice |
| Calculating Embeddings | Intern | Sender Juice |
| Prompt Templates | Intern | Sender Juice |
| Input Sequence Length | Intern | Sender Juice |
| Multi-Process / Multi-GPU Encoding | Intern | Sender Juice |
| Semantic Textual Similarity | Intern | Sender Juice |
| Similarity Calculation | Intern | Sender Juice |
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| Advanced: Custom Modules | Intern | Sender Juice |
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| SQuAD (QNLI) | Intern | Sender Juice |
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| NLI | Intern | Sender Juice |
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| Training Components | Intern | Sender Juice |
| Model | Intern | Sender Juice |
| Dataset | Intern | Sender Juice |
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| Loss Function | Intern | Sender Juice |
| Training Arguments | Intern | Sender Juice |
| Evaluator | Intern | Sender Juice |
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| Callbacks | Intern | Sender Juice |
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| Training Tips | Intern | Sender Juice |
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| Loss Overview | Intern | Sender Juice |
| Loss Table | Intern | Sender Juice |
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| Commonly used Loss Functions | Intern | Sender Juice |
| Custom Loss Functions | Intern | Sender Juice |
| Training Examples | Intern | Sender Juice |
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| Training data | Intern | Sender Juice |
| Loss Function | Intern | Sender Juice |
| Inference | Intern | Sender Juice |
| Natural Language Inference | Intern | Sender Juice |
| Data | Intern | Sender Juice |
| CrossEntropyLoss | Intern | Sender Juice |
| Inference | Intern | Sender Juice |
| Quora Duplicate Questions | Intern | Sender Juice |
| Training | Intern | Sender Juice |
| Inference | Intern | Sender Juice |
| MS MARCO | Intern | Sender Juice |
| Cross Encoder | Intern | Sender Juice |
| Training Scripts | Intern | Sender Juice |
| Inference | Intern | Sender Juice |
| Rerankers | Intern | Sender Juice |
| BinaryCrossEntropyLoss | Intern | Sender Juice |
| CachedMultipleNegativesRankingLoss | Intern | Sender Juice |
| Inference | Intern | Sender Juice |
| Model Distillation | Intern | Sender Juice |
| Cross Encoder Knowledge Distillation | Intern | Sender Juice |
| Inference | Intern | Sender Juice |
| Usage | Intern | Sender Juice |
| Computing Sparse Embeddings | Intern | Sender Juice |
| Initializing a Sparse Encoder Model | Intern | Sender Juice |
| Calculating Embeddings | Intern | Sender Juice |
| Input Sequence Length | Intern | Sender Juice |
| Controlling Sparsity | Intern | Sender Juice |
| Interpretability with SPLADE Models | Intern | Sender Juice |
| Multi-Process / Multi-GPU Encoding | Intern | Sender Juice |
| Semantic Textual Similarity | Intern | Sender Juice |
| Similarity Calculation | Intern | Sender Juice |
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| Manual Search | Intern | Sender Juice |
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| Overview | Intern | Sender Juice |
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| Example with Retrieval Evaluation: | Intern | Sender Juice |
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| Why Finetune? | Intern | Sender Juice |
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| Dataset Format | Intern | Sender Juice |
| Loss Function | Intern | Sender Juice |
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| Callbacks | Intern | Sender Juice |
| Multi-Dataset Training | Intern | Sender Juice |
| Training Tips | Intern | Sender Juice |
| Loss Overview | Intern | Sender Juice |
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| Loss Table | Intern | Sender Juice |
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| Commonly used Loss Functions | Intern | Sender Juice |
| Custom Loss Functions | Intern | Sender Juice |
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| data augmentation | Ekstern | Sender Juice |
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Sprog
Godt, dit tildelte sprog er en.
Dublin Core
Denne side benytter IKKE Dublin Core principperne.
Dokument
Dokumenttype
HTML 5
Kryptering
Perfekt. Dit Charset er tildelt UTF-8.
W3C Validering
Fejl : 0
Advarsler : 0
Email Privatliv
Godt! Ingen email adresser er blevet fundet i rå tekst!
Udgået HTML
Godt! Vi har ikke fundet udgåede HTML tags i din kildekode
Hastigheds Tips
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Alle tiders! Din webside bruger ikke nestede tabeller. |
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Perfekt. Ingen inline CSS kode er blevet fundet i dine HTML tags! |
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Dårligt, din webside har for mange CSS filer (mere end 4). |
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Dårligt, din webside har for mange JavaScript filer (mere end 6). |
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Perfekt, din hjemmeside udnytter gzip. |
Mobil
Mobil Optimering
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Apple Ikon |
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Meta Viewport Tag |
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Flash indhold |
Optimering
XML Sitemap
Mangler
Dit websted ikke har en XML sitemap - det kan være problematisk.
Et sitemap lister URL'er, der er tilgængelige for gennemgang og kan indeholde yderligere oplysninger som dit websted seneste opdateringer, hyppigheden af ændringer, og betydningen af de webadresser. Dette gør det muligt søgemaskiner til at gennemgå webstedet mere intelligent.
Robots.txt
https://sbert.net/robots.txt
Stor, din hjemmeside har en robots.txt-fil.
Analytics
Mangler
Vi har ikke registrerer en analyseværktøj installeret på denne hjemmeside.
Web analytics kan du måle besøgendes aktivitet på dit websted. Du bør have mindst én analyseværktøj installeret, men det kan også være godt at installere et sekund for at krydstjekke data.
PageSpeed Insights
Apparat
Kategorier
Free SEO Testing Tool
Free SEO Testing Tool er et gratis SEO redskab der hjælper med din hjemmeside