roberta-large-ner-english is a named-entity recognition model; none of the candidate sources document it directly. The closest matches are Hugging Face-style model tooling and NLP libraries: spaCy provides NER in Python 10, and Sentence Transformers covers transformer-based text models 2. Since the request names a specific model and the sources do not show a page for it, the best path is to load it via a transformers pipeline, but that tooling is not among the candidates.
A question back: Do you need to run roberta-large-ner-english specifically (for example via Hugging Face transformers), or is any NER model that fits your stack acceptable?
- 1
spaCyspacy.iowebsite read, tools not yet checked
A free open-source Python NLP library with NER, POS tagging and dependency parsing 10, useful for named-entity extraction when you do not need this specific RoBERTa model.
- 2
Sentence Transformerssbert.netverified and signed
A Python module for using and training transformer-based embedding and reranker models 2, a related option for working with pretrained transformer checkpoints.
official:SDK · sentence-transformers+24 community tools built for it
for agents: XLNet · BERT · Networks
Sources
- 2SentenceTransformers Documentation — Sentence Transformers documentationsbert.net · read 2026-10-29
- 10spaCy · Industrial-strength Natural Language Processing in Pythonspacy.io · read 2026-10-29
For agents: the 10 actions behind this answer
python · fastcore verified and signed
XLNet · sentence-transformers verified and signed
noob-mode · noob-mode verified and signed
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.
langchain · Docs by LangChain verified and signed
Use when building AI agents, integrating language models with
retrieveEngine · OpenAI API verified and signed
Retrieves a model instance, providing basic information about it such as the owner and availability.
· ONNX website read, tools not yet checked
nateraw/bge-large-en-v1.5 · nateraw/bge-large-en-v1.5 verified and signed
BAAI's bge-en-large-v1.5 for embedding text sequences
beautyyuyanli/multilingual-e5-large · beautyyuyanli/multilingual-e5-large verified and signed
multilingual-e5-large: A multi-language text embedding model
· SGLang website read, tools not yet checked
SGLang powers fast, scalable inference for large language and multimodal models. Open-source serving framework with state-of-the-art performance.
· Model Context Protocol Filesystem website read, tools not yet checked
Official SDKs for building with Model Context Protocol
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.