Instructions to use devilga/ipa_bpe_tokenizer_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devilga/ipa_bpe_tokenizer_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("devilga/ipa_bpe_tokenizer_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from devilga/ipa_bpe_tokenizer_v2: direct link, hf CLI and curl.
- Browser
- Download file 732 Bytes
-
https://huggingface.co/devilga/ipa_bpe_tokenizer_v2/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://devilga/ipa_bpe_tokenizer_v2/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/devilga/ipa_bpe_tokenizer_v2/resolve/main/special_tokens_map.json
732 Bytes
| { | |
| "bos_token": { | |
| "content": "[BOS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "[EOS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "[MASK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |