gchhablani
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Add model
Browse files- README.md +3 -3
- pytorch_model.bin +3 -0
README.md
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@@ -8,8 +8,8 @@ datasets:
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- bookcorpus
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- wikipedia
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---
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# MultiBERTs Seed
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Seed
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[this paper](https://arxiv.org/pdf/2106.16163.pdf) and first released in
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[this repository](https://github.com/google-research/language/tree/master/language/multiberts). This model is uncased: it does not make a difference
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between english and English.
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```python
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from transformers import BertTokenizer, BertModel
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tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
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model = BertModel.from_pretrained("multiberts-seed-
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text = "Replace me by any text you'd like."
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encoded_input = tokenizer(text, return_tensors='pt')
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output = model(**encoded_input)
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- bookcorpus
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- wikipedia
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---
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# MultiBERTs Seed 1000000 Checkpoint 1000k (uncased)
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Seed 1000000 intermediate checkpoint 1000k MultiBERTs (pretrained BERT) model on English language using a masked language modeling (MLM) objective. It was introduced in
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[this paper](https://arxiv.org/pdf/2106.16163.pdf) and first released in
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[this repository](https://github.com/google-research/language/tree/master/language/multiberts). This model is uncased: it does not make a difference
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between english and English.
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```python
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from transformers import BertTokenizer, BertModel
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tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
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model = BertModel.from_pretrained("multiberts-seed-1000000-1000k")
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text = "Replace me by any text you'd like."
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encoded_input = tokenizer(text, return_tensors='pt')
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output = model(**encoded_input)
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:97eaf052cbe375e3dae57b07295c4d7076bb70d67ec9273588f0bb3d1292b00c
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size 440509027
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