Open-weight model · Question answering
biobert-large-cased-v1.1-squad
by Data Mining and Information Systems Lab dmis-lab/biobert-large-cased-v1.1-squad
This model can be used for the task of question answering. The model should not be used to intentionally create hostile or alienating environments for people.
Parameters—
Context512
Weights2.9 GB
License—
AccessOpen weights
Monthly Downloads14.6k
Model Card
This model can be used for the task of question answering. The model should not be used to intentionally create hostile or alienating environments for people. Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. The model creators note in the associated paper: The model creators note in the associated paper: The model…
Excerpt from the card by Data Mining and Information Systems Lab.
Configuration
- Architecture
- BertForQuestionAnswering
- Context length (tokens)
- 512
- Layers
- 24
- Hidden size
- 1,024
- Feed-forward size
- 4,096
- Attention heads
- 16
- Vocabulary size
- 58,996
- Model type
- bert
Identity and Version
- Repository
- dmis-lab/biobert-large-cased-v1.1-squad
- Publisher
- Data Mining and Information Systems Lab
- Task
- Question answering
- Modality
- Text
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- jax
- Revision
- 8ba1de0d8060625a662340c13b6bf674f17dfdaf
- First published
- 2022-03-02
- Last updated
- 2023-01-04
Files and Weights
6 files, 2.9 GB in total. The weights are 2 files totalling 2.9 GB in bin, msgpack.
Weights2 files · 2.9 GB
Configuration1 file · 631 B
Tokenizer1 file · 466.7 KB
Documentation1 file · 5.3 KB
Repository1 file · 736 B
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| flax_model.msgpack | Weights | 1.5 GB | bb0385e0f7ca |
| pytorch_model.bin | Weights | 1.5 GB | 139323487593 |
| config.json | Configuration | 631 B | — |
| README.md | Documentation | 5.3 KB | — |
| .gitattributes | Repository | 736 B | — |
| vocab.txt | Tokenizer | 466.7 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 2.9 GB
Download from Data Mining and Information Systems Lab
Released by Data Mining and Information Systems Lab through its official repository on Hugging Face.
Built From
- Described by arXiv:1901.08746
- Described by arXiv:1910.09700
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 2.9 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About biobert-large-cased-v1.1-squad
What is biobert-large-cased-v1.1-squad's context length?
512 tokens, from the maximum position embeddings in its published configuration.
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