22 models · ranked by HuggingFace downloads
T5-small is the 60M-parameter variant of Google's Text-to-Text Transfer Transformer, casting all NLP tasks as seq2seq problems. It was influential in establishing the unified text-to-text training paradigm but is outdated for production use.
T5-base is the 220M-parameter version of Google's T5, providing a better accuracy-speed trade-off than T5-small for seq2seq tasks while remaining significantly smaller than T5-large. It established the text-to-text format for multi-task NLP.
opus-mt-nl-en translates text between languages using a sequence-to-sequence architecture. It accepts source text and generates a target-language equivalent.
nllb-200-distilled-600M is an encoder-decoder translation model. Given a source sentence, it generates the corresponding target-language string.
opus-mt-en-de performs neural machine translation. Quality depends on language pair and domain; low-resource pairs and specialized vocabulary benefit from additional fine-tuning.
opus-mt-fr-en performs neural machine translation. Quality depends on language pair and domain; low-resource pairs and specialized vocabulary benefit from additional fine-tuning.
vntl-llama3-8b-v2-gguf translates text between languages using a sequence-to-sequence architecture. It accepts source text and generates a target-language equivalent.
opus-mt-es-en is Helsinki-NLP's MarianMT model for Spanish-to-English machine translation, trained on the OPUS multilingual corpus. It is one of the most widely used open neural MT models for this language pair, offering fast inference via the MarianMT architecture without requiring a large GPU. The model is part of a family covering hundreds of language pairs with a consistent interface.
opus-mt-tr-en translates text between languages using a sequence-to-sequence architecture. It accepts source text and generates a target-language equivalent.
opus-mt-en-es is a Helsinki-NLP Marian-based neural machine translation model for EN-to-Spanish translation, trained on OPUS parallel corpora. It uses the MarianMT architecture with SentencePiece tokenization and produces competitive translations for common language pairs. The model is available through the Hugging Face translation pipeline without additional dependencies.
opus-mt-ar-en is a Helsinki-NLP Marian-based neural machine translation model for Arabic-to-EN translation, trained on OPUS parallel corpora. It uses the MarianMT architecture with SentencePiece tokenization and produces competitive translations for common language pairs. The model is available through the Hugging Face translation pipeline without additional dependencies.
opus-mt-it-en is a Helsinki-NLP Marian-based neural machine translation model for Italian-to-EN translation, trained on OPUS parallel corpora. It uses the MarianMT architecture with SentencePiece tokenization and produces competitive translations for common language pairs. The model is available through the Hugging Face translation pipeline without additional dependencies.
opus-mt-en-ar is an open-source translation model available on HuggingFace. Details are sourced from the public model registry.
opus-mt-de-en performs neural machine translation. Quality depends on language pair and domain; low-resource pairs and specialized vocabulary benefit from additional fine-tuning.
opus-mt-en-it is an open-source translation model available on HuggingFace. Details are sourced from the public model registry.
T5-large (770M) is Google's text-to-text transfer transformer pretrained on C4, framing all NLP tasks as text generation. The large variant provides a significant quality step over T5-base for sequence-to-sequence tasks while remaining practical for fine-tuning.
madlad400-3b-mt is an encoder-decoder translation model. Given a source sentence, it generates the corresponding target-language string.
opus-mt-ko-en is an encoder-decoder translation model. Given a source sentence, it generates the corresponding target-language string.
Hunyuan-MT-7B-GGUF is an open-source translation model available on HuggingFace. Details are sourced from the public model registry.
Sugoi-14B-Ultra-GGUF is an open-source translation model available on HuggingFace. Details are sourced from the public model registry.
t5-3b is an encoder-decoder translation model. Given a source sentence, it generates the corresponding target-language string.
OPUS-MT English-to-French is Helsinki-NLP's Marian NMT model trained on the OPUS multilingual corpus for EN→FR translation. It's a lightweight, fast neural machine translation model using the MarianMT architecture. Apache-2.0 licensed and available in PyTorch, TF, and JAX.