Transformers
Safetensors
PEFT
mtrini
compiwer-ai
qwen3-vl
lora
reasoning
coding
mathematics
darija
moroccan-arabic
Instructions to use CompiwerAI/Mtrini-SVL-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CompiwerAI/Mtrini-SVL-1.1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CompiwerAI/Mtrini-SVL-1.1", device_map="auto") - PEFT
How to use CompiwerAI/Mtrini-SVL-1.1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from CompiwerAI/Mtrini-SVL-1.1: direct link, hf CLI and curl.
- Browser
- Download file 528 Bytes
-
https://huggingface.co/CompiwerAI/Mtrini-SVL-1.1/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://CompiwerAI/Mtrini-SVL-1.1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/CompiwerAI/Mtrini-SVL-1.1/resolve/main/tokenizer_config.json
528 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "max_length": 2048, | |
| "model_max_length": 262144, | |
| "pad_token": "<|endoftext|>", | |
| "processor_class": "Qwen3VLProcessor", | |
| "split_special_tokens": false, | |
| "stride": 0, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": null | |
| } | |