Instructions to use BarelyFunctionalCode/Janus-Pro-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BarelyFunctionalCode/Janus-Pro-1B with Transformers:
# Load model directly from transformers import MultiModalityCausalLM model = MultiModalityCausalLM.from_pretrained("BarelyFunctionalCode/Janus-Pro-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from BarelyFunctionalCode/Janus-Pro-1B: direct link, hf CLI and curl.
- Browser
- Download file 285 Bytes
-
https://huggingface.co/BarelyFunctionalCode/Janus-Pro-1B/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://BarelyFunctionalCode/Janus-Pro-1B/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/BarelyFunctionalCode/Janus-Pro-1B/resolve/main/tokenizer_config.json
285 Bytes
| { | |
| "bos_token": "<|begin▁of▁sentence|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|end▁of▁sentence|>", | |
| "model_max_length": 16384, | |
| "pad_token": null, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": null, | |
| "use_default_system_prompt": true | |
| } | |