Cross Encoder NLI RoBERTa Base
Cross Encoder NLI RoBERTa Base is Hugging Face's language model. A RoBERTa-based cross-encoder fine-tuned on natural language inference data for zero-shot text classification.
huggingface-cross-encoder-nli-roberta-base |
| Language |
| Active |
| Hugging Face |
| Text |
| Text |
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities0/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs·
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Cross Encoder NLI RoBERTa Base | — | — | — | — | Current |
| Cross Encoder NLI DistilRoBERTa Base | — | — | — | — | Available |
| DistilRoBERTa Base | — | — | — | — | Available |
| DistilRoBERTa Base | — | — | — | — | Available |
| RoBERTa Base | — | — | — | — | Available |
| RoBERTa Base OpenAI Detector | — | — | — | — | Available |
| RoBERTa Large | — | — | — | — | Available |
| RoBERTa Large OpenAI Detector | — | — | — | — | Available |