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Cross Encoder NLI RoBERTa Base


Cross Encoder NLI RoBERTa Base is Hugging Face logoHugging Face's language model. A cross-encoder model fine-tuned on NLI data for zero-shot text classification using RoBERTa as the base architecture.
Spec
Canonical IDhuggingface-cross-encoder-nli-roberta-base
TypeLanguage
StatusActive
CreatorHugging FaceHugging Face
Input ModalitiesText
Output ModalitiesText

Capabilities

Input1/5
Textβœ“
ImageΒ·
AudioΒ·
VideoΒ·
PDFΒ·
Output1/5
Textβœ“
ImageΒ·
AudioΒ·
VideoΒ·
EmbeddingΒ·
Capabilities0/13
ReasoningΒ·
Adaptive ReasoningΒ·
Function CallingΒ·
Parallel Function CallingΒ·
Structured OutputsΒ·
Native JSON SchemaΒ·
Web SearchΒ·
URL ContextΒ·
Computer UseΒ·
Code ExecutionΒ·
File SearchΒ·
Prompt CachingΒ·
Assistant PrefillΒ·

Versions

VersionReleasedContextInput / 1MOutput / 1MStatus
Cross Encoder NLI RoBERTa Baseβ€”β€”β€”β€”Current
Cross Encoder NLI DistilRoBERTa Baseβ€”β€”β€”β€”Available
DistilRoBERTaβ€”β€”β€”β€”Available
DistilRoBERTa Baseβ€”β€”β€”β€”Available
DistilRoBERTa Baseβ€”β€”β€”β€”Available
Financial Text Embeddingβ€”β€”β€”β€”Available
NLI DistilRoBERTa Baseβ€”β€”β€”β€”Available
NLI RoBERTa Baseβ€”β€”β€”β€”Available
RoBERTaβ€”β€”β€”β€”Available
RoBERTa Baseβ€”β€”β€”β€”Available
RoBERTa Base OpenAI Detectorβ€”β€”β€”β€”Available

Model IDs