allenai / scibert_scivocab_cased

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Introduction of scibert_scivocab_cased

Model Details of scibert_scivocab_cased

SciBERT

This is the pretrained model presented in SciBERT: A Pretrained Language Model for Scientific Text , which is a BERT model trained on scientific text.

The training corpus was papers taken from Semantic Scholar . Corpus size is 1.14M papers, 3.1B tokens. We use the full text of the papers in training, not just abstracts.

SciBERT has its own wordpiece vocabulary (scivocab) that's built to best match the training corpus. We trained cased and uncased versions.

Available models include:

  • scibert_scivocab_cased
  • scibert_scivocab_uncased

The original repo can be found here .

If using these models, please cite the following paper:

@inproceedings{beltagy-etal-2019-scibert,
    title = "SciBERT: A Pretrained Language Model for Scientific Text",
    author = "Beltagy, Iz  and Lo, Kyle  and Cohan, Arman",
    booktitle = "EMNLP",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/D19-1371"
}

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scibert_scivocab_cased huggingface.co is an AI model on huggingface.co that provides scibert_scivocab_cased's model effect (), which can be used instantly with this allenai scibert_scivocab_cased model. huggingface.co supports a free trial of the scibert_scivocab_cased model, and also provides paid use of the scibert_scivocab_cased. Support call scibert_scivocab_cased model through api, including Node.js, Python, http.

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allenai scibert_scivocab_cased online free

scibert_scivocab_cased huggingface.co is an online trial and call api platform, which integrates scibert_scivocab_cased's modeling effects, including api services, and provides a free online trial of scibert_scivocab_cased, you can try scibert_scivocab_cased online for free by clicking the link below.

allenai scibert_scivocab_cased online free url in huggingface.co:

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scibert_scivocab_cased install

scibert_scivocab_cased is an open source model from GitHub that offers a free installation service, and any user can find scibert_scivocab_cased on GitHub to install. At the same time, huggingface.co provides the effect of scibert_scivocab_cased install, users can directly use scibert_scivocab_cased installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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