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  • Displaying 25 results
    NVIDIA NeMo
    NVIDIA NeMo
    Megatron GPT2 345M
    345M parameter GPT generative Megatron model
    Model
    NVIDIA
    NVIDIA
    BioMegatron345mUncased
    Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
    Model
    NVIDIA
    NVIDIA
    Megatron Multilingual En Any 500M
    Megatron Multilingual Neural Machine Translation model to translate from English to Any* language Supported languages: cs, da, de, el, es, fi, fr, hu, it, lt, lv, nl, no, pl, pt, ro, ru, sk, sv, zh, ja, hi, ko, et, sl, bg, uk, hr, ar, vi, tr, id
      Model
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      BioMegatron345mCased
      Megatron pretrained on cased biomedical dataset PubMed with 345 million parameters.
      Model
      NVIDIA
      NVIDIA
      BioMegatron345mUncasedSQuADv1
      BioMegatron 345M uncased model for Question Answering finetuned with NeMo on SQuAD v1.1 dataset.
      Model
      NVIDIA
      NVIDIA
      Megatron Multilingual Any En 500M
      Megatron Multilingual Neural Machine Translation model to translate from Any* language to English Supported languages: cs, da, de, el, es, fi, fr, hu, it, lt, lv, nl, no, pl, pt, ro, ru, sk, sv, zh, ja, hi, ko, et, sl, bg, uk, hr, ar, vi, tr, id
        Model
        NVIDIA NeMo
        NVIDIA NeMo
        Megatron-BERT 345M Cased
        345M parameter BERT Megatron model with cased vocab
        Model
        NVIDIA NeMo
        NVIDIA NeMo
        BioMegatron345m-biovocab-50k-cased
        Megatron 345m parameters model with biomedical vocabulary (50k size) cased, pre-trained on PubMed biomedical text corpus.
        Model
        NVIDIA
        NVIDIA
        Question Answering SQUAD2.0 Megatron
        Question Answering Megatron uncased model for extractive question answering on any provided content.
          Model
          NVIDIA
          NVIDIA
          QA squadv1.1 Megatronuncased
          Uncased question answering model with Megatron encoder finetuned on SQuADv1.1
          Model
          NVIDIA NeMo
          NVIDIA NeMo
          Megatron-BERT 345M Uncased
          345M parameter BERT Megatron model with uncased vocab
          Model
          NVIDIA NeMo
          NVIDIA NeMo
          BioMegatron345m-biovocab-50k-uncased
          Megatron 345m parameters model with biomedical vocabulary (50k size) uncased, pre-trained on PubMed biomedical text corpus.
          Model
          NVIDIA NeMo
          NVIDIA NeMo
          BioMegatron345m-biovocab-30k-cased
          Megatron 345m parameters model with biomedical vocabulary (30k size) cased, pre-trained on PubMed biomedical text corpus.
          Model
          NVIDIA
          NVIDIA
          retro-8b-instruct-4k
          InstructRetro is an autoregressive decoder-only language model (LM) with retrieval-augmented pretraining and instruction tuning
            Model
            NVIDIA
            NVIDIA
            QA squadv1.1 Megatroncased
            Cased question answering model with Megatron encoder finetuned on SQuADv1.1
            Model
            NVIDIA
            NVIDIA
            QA squadv2.0 Megatronuncased
            Uncased question answering model with Megatron uncased encoder finetuned on SQuADv2.0
            Model
            NVIDIA NeMo
            NVIDIA NeMo
            FinMegatron345m-gpt2-bpe
            FSI : Financial Megatron GPT2 345m parameters model with BPE tokenizer, gpt vocabulary and merge file, pre-trained on subsets of CC-100 text corpus.
            Model
            NVIDIA NeMo
            NVIDIA NeMo
            BioMegatron345mUncased
            Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
            Model
            NVIDIA NeMo
            NVIDIA NeMo
            BioMegatron345m-biovocab-30k-uncased
            Megatron 345m parameters model with biomedical vocabulary (30k size) uncased, pre-trained on PubMed biomedical text corpus.
            Model
            NVIDIA
            NVIDIA
            QA squadv2.0 Megatroncased
            Cased question answering model with Megatron encoder finetuned on SQuADv2.0
            Model
            NVIDIA
            NVIDIA
            Question Answering SQUAD2.0 Megatron
            Question Answering Megatron uncased model for extractive question answering on any provided content.
            Model
            NVIDIA NeMo
            NVIDIA NeMo
            FinMegatron345m-uncased
            FSI : Financial Megatron 345m parameters model with bert vocabulary (28k size) uncased, pre-trained on subsets of CC-100 text corpus.
            Model
            NVIDIA
            NVIDIA
            ZeroShotIntent En Megatronuncased
            ZeroShotIntentModel trained by fine tuning megatron-bert-345m-uncased on the MNLI (Multi-Genre Natural Language Inference) dataset, which achieves an accuracy of 90.0% and 89.9% on the matched and mismatched dev sets, respectively.
            Model
            NVIDIA
            NVIDIA
            retro-48b-instruct-4k
            InstructRetro is an autoregressive decoder-only language model (LM) with retrieval-augmented pretraining and instruction tuning
              Model

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