camembert-base is a French RoBERTa language model hosted on Hugging Face, so the Hugging Face Transformers library is the direct tool for loading and using it 2. Sentence-level embedding alternatives include Sentence Transformers, which computes embeddings from text using pretrained models 3, and Replicate's hosted all-mpnet-base model for embeddings over an API 6.
- 1
Hugging Face Transformershuggingface.coverified and signed
Hugging Face hosts open models and provides a transformers SDK for loading and running them, which is how camembert-base is used 29.
official:SDK · transformersskill · train-sentence-transformersskill · transformers-js+16 community tools built for it
for agents: nlp · train-sentence-transformers · llm
- 2
Sentence Transformerssbert.netverified and signed
Python module for computing embeddings from text with pretrained embedding models, an alternative when the goal is sentence embeddings rather than raw masked-language features 310.
official:SDK · sentence-transformers+24 community tools built for it
for agents: XLNet · BERT · embedding
- 3
Sources
- 2Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 3SentenceTransformers Documentation — Sentence Transformers documentationsbert.net · read 2026-10-29
- 6Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 9transformers: declares "nlp" (the record we read and signed)unfragile.ai · read 2026-10-24
- 10sentence-transformers: declares "XLNet" (the record we read and signed)unfragile.ai · read 2026-10-24
- 13replicate/all-mpnet-base-v2: declares "replicate/all-mpnet-base-v2" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
model-recommendation · model-recommendation verified and signed
Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency
nlp · transformers verified and signed
XLNet · sentence-transformers verified and signed
· Ollama website read, tools not yet checked
Ollama is the easiest way to run and build with open AI models locally or in the cloud on macOS, Windows, and Linux.
models · huggingface-hub verified and signed
· 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.
replicate/all-mpnet-base-v2 · replicate/all-mpnet-base-v2 verified and signed
This is a language model that can be used to obtain document embeddings suitable for downstream tasks like semantic search and clustering.
mark3labs/embeddings-gte-base · mark3labs/embeddings-gte-base verified and signed
General Text Embeddings (GTE) model.
mistralai/mistral-7b-v0.1 · mistralai/mistral-7b-v0.1 verified and signed
A 7 billion parameter language model from Mistral.
meta/meta-llama-3-8b · meta/meta-llama-3-8b verified and signed
Base version of Llama 3, an 8 billion parameter language model from Meta.
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.