Instructions to use LeroyDyer/Mistral-OneVisionlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use LeroyDyer/Mistral-OneVisionlm with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("LeroyDyer/Mistral-OneVisionlm", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from LeroyDyer/Mistral-OneVisionlm: direct link, hf CLI and curl.
- Browser
- Download file 2.4 kB
-
https://huggingface.co/LeroyDyer/Mistral-OneVisionlm/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://LeroyDyer/Mistral-OneVisionlm/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/LeroyDyer/Mistral-OneVisionlm/resolve/main/tokenizer_config.json
2.4 kB
| { | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "add_prefix_space": null, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "32000": { | |
| "content": "<video>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "32001": { | |
| "content": "<image>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "additional_special_tokens": [ | |
| "<video>", | |
| "<image>" | |
| ], | |
| "bos_token": "<s>", | |
| "chat_template": "{% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% else %}{% for message in messages %}{% if message['from'] == 'human' %}{{'<|im_start|>user\n' + message['value'] + '<|im_end|>\n'}}{% elif message['from'] == 'gpt' %}{{'<|im_start|>assistant\n' + message['value'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['value'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% endif %}", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "extra_special_tokens": {}, | |
| "legacy": true, | |
| "max_length": null, | |
| "model_max_length": 131072, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "<|im_end|>", | |
| "pad_token_type_id": 0, | |
| "padding": "left", | |
| "padding_side": "left", | |
| "processor_class": "LlavaOnevisionProcessor", | |
| "tokenizer_class": "LlamaTokenizerFast", | |
| "truncation": true, | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |