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Displaying 25 results

Megatron GPT2 345M
NVIDIA NeMo
345M parameter GPT generative Megatron model
Model
BioMegatron345mUncased
NVIDIA
Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
Model
BioMegatron345mCased
—
Megatron pretrained on cased biomedical dataset PubMed with 345 million parameters.
Model
Megatron Multilingual En Any 500M
NVIDIA
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
BioMegatron345mUncasedSQuADv1
NVIDIA
BioMegatron 345M uncased model for Question Answering finetuned with NeMo on SQuAD v1.1 dataset.
Model
Megatron Multilingual Any En 500M
NVIDIA
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
Megatron-BERT 345M Cased
NVIDIA NeMo
345M parameter BERT Megatron model with cased vocab
Model
BioMegatron345m-biovocab-50k-cased
NVIDIA NeMo
Megatron 345m parameters model with biomedical vocabulary (50k size) cased, pre-trained on PubMed biomedical text corpus.
Model
QA squadv1.1 Megatronuncased
NVIDIA
Uncased question answering model with Megatron encoder finetuned on SQuADv1.1
Model
Question Answering SQUAD2.0 Megatron
NVIDIA
Question Answering Megatron uncased model for extractive question answering on any provided content.
Model
Megatron-BERT 345M Uncased
NVIDIA NeMo
345M parameter BERT Megatron model with uncased vocab
Model
retro-8b-instruct-4k
NVIDIA
InstructRetro is an autoregressive decoder-only language model (LM) with retrieval-augmented pretraining and instruction tuning
Model
BioMegatron345m-biovocab-50k-uncased
NVIDIA NeMo
Megatron 345m parameters model with biomedical vocabulary (50k size) uncased, pre-trained on PubMed biomedical text corpus.
Model
BioMegatron345m-biovocab-30k-cased
NVIDIA NeMo
Megatron 345m parameters model with biomedical vocabulary (30k size) cased, pre-trained on PubMed biomedical text corpus.
Model
QA squadv1.1 Megatroncased
NVIDIA
Cased question answering model with Megatron encoder finetuned on SQuADv1.1
Model
QA squadv2.0 Megatronuncased
NVIDIA
Uncased question answering model with Megatron uncased encoder finetuned on SQuADv2.0
Model
FinMegatron345m-gpt2-bpe
NVIDIA NeMo
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
BioMegatron345mUncased
NVIDIA NeMo
Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
Model
BioMegatron345m-biovocab-30k-uncased
NVIDIA NeMo
Megatron 345m parameters model with biomedical vocabulary (30k size) uncased, pre-trained on PubMed biomedical text corpus.
Model
QA squadv2.0 Megatroncased
NVIDIA
Cased question answering model with Megatron encoder finetuned on SQuADv2.0
Model
Question Answering SQUAD2.0 Megatron
NVIDIA
Question Answering Megatron uncased model for extractive question answering on any provided content.
Model
FinMegatron345m-uncased
NVIDIA NeMo
FSI : Financial Megatron 345m parameters model with bert vocabulary (28k size) uncased, pre-trained on subsets of CC-100 text corpus.
Model
ZeroShotIntent En Megatronuncased
NVIDIA
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
retro-48b-instruct-4k
NVIDIA
InstructRetro is an autoregressive decoder-only language model (LM) with retrieval-augmented pretraining and instruction tuning
Model
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