Instructions to use kejian/debug-pt-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/debug-pt-conditional with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/debug-pt-conditional") model = AutoModel.from_pretrained("kejian/debug-pt-conditional", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from kejian/debug-pt-conditional: direct link, hf CLI and curl.
- Browser
- Download file 209 Bytes
-
https://huggingface.co/kejian/debug-pt-conditional/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://kejian/debug-pt-conditional/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/kejian/debug-pt-conditional/resolve/main/special_tokens_map.json
209 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<|aligned|>", | |
| "<|misaligned|>" | |
| ], | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": "<|endoftext|>" | |
| } | |