Instructions to use zycao/star with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zycao/star with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaDot_InBatch tokenizer = AutoTokenizer.from_pretrained("zycao/star") model = RobertaDot_InBatch.from_pretrained("zycao/star", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from zycao/star: direct link, hf CLI and curl.
- Browser
- Download file 1.19 kB
-
https://huggingface.co/zycao/star/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://zycao/star/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/zycao/star/resolve/main/tokenizer_config.json
1.19 kB
| {"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "do_lower_case": false, "max_len": 512, "use_fast": false, "special_tokens_map_file": "./data/train/msmarco-passage/ance_bm25_warmup/special_tokens_map.json", "tokenizer_file": null, "name_or_path": "./data/train/msmarco-passage/ance_bm25_warmup"} |