Instructions to use vil-uob/sam3-litetext-l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vil-uob/sam3-litetext-l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="vil-uob/sam3-litetext-l")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("vil-uob/sam3-litetext-l") model = AutoModelForMultimodalLM.from_pretrained("vil-uob/sam3-litetext-l") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|startoftext|>", | |
| "do_lower_case": true, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "max_length": 77, | |
| "model_max_length": 77, | |
| "pad_token": "<|endoftext|>", | |
| "processor_class": "Sam3Processor", | |
| "tokenizer_class": "CLIPTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |