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--- |
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language: en |
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tags: |
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- azbert |
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- pretraining |
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- fill-mask |
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widget: |
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- text: "$f$ $($ $x$ [MASK] $y$ $)$" |
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example_title: "mathy" |
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- text: "$x$ [MASK] $x$ $equal$ $2$ $x$" |
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example_title: "mathy" |
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- text: "Proof by [MASK] that $n$ $fact$ $gt$ $3$ $n$ for $n$ $gt$ $6$" |
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example_title: "mathy" |
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- text: "Proof by induction that $n$ [MASK] $gt$ $3$ $n$ for $n$ $gt$ $6$" |
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example_title: "mathy" |
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- text: "The goal of life is [MASK]." |
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example_title: "philosophical" |
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license: mit |
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--- |
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## About |
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This repository is a boilerplate to push a mask-filling model to the HuggingFace Model Hub. |
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### Upload to huggingface |
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Download your tokenizer, model checkpoints, and optionally the training logs () to the `./ckpt` directory. |
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Optionally, test model using the MLM task: |
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```sh |
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pip install pya0 |
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python test.py --test_file test.txt |
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``` |
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> **Note** |
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> Modify the test examples in `test.txt` to play with it. |
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> The test file is tab-separated, the first column is additional positions you want to mask for the right-side sentence (useful for masking tokens in math markups). |
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> A zero means no additional mask positions. |
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To upload to huggingface, use the `upload2hgf.sh` script. |
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Before runnig this script, be sure to check: |
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* `git-lfs` is installed |
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* having git-remote named `hgf` reference to `https://huggingface.co/your/repo` |
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* model contains all the files needed: `config.json` and `pytorch_model.bin` |
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* tokenizer contains all the files needed: `added_tokens.json`, `special_tokens_map.json`, `tokenizer_config.json`, `vocab.txt` and `tokenizer.json` |
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* no `tokenizer_file` field in `tokenizer_config.json` (sometimes it is located locally at `~/.cache`) |
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