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
File size: 209 Bytes
36ed44f | 1 2 3 4 5 6 7 8 9 10 11 | {
"additional_special_tokens": [
"<|aligned|>",
"<|misaligned|>"
],
"bos_token": "<|endoftext|>",
"eos_token": "<|endoftext|>",
"pad_token": "<|endoftext|>",
"unk_token": "<|endoftext|>"
}
|