Text Classification
Transformers
Safetensors
English
lfm3_vl
feature-extraction
lfm3
decision
decision-model
classification
calibration
system-one
security
agent-guard
guardrails
custom_code
Instructions to use aidendle94/Scantron-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aidendle94/Scantron-Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aidendle94/Scantron-Preview", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("aidendle94/Scantron-Preview", trust_remote_code=True) model = AutoModel.from_pretrained("aidendle94/Scantron-Preview", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 623 Bytes
33e4a86 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"backend": "tokenizers",
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"extra_special_tokens": [],
"image_token": "<|image|>",
"model_max_length": 1000000000000000019884624838656,
"model_specific_special_tokens": {
"image_token": "<|image|>",
"video_token": "<|video|>",
"vision_end_token": "<|vision_end|>",
"vision_start_token": "<|vision_start|>"
},
"pad_token": "<|pad|>",
"processor_class": "Lfm3VlProcessor",
"tokenizer_class": "TokenizersBackend",
"video_token": "<|video|>",
"vision_end_token": "<|vision_end|>",
"vision_start_token": "<|vision_start|>"
}
|