Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
typed-decisions
calibrated-classification
system-one
classification
structured-prediction
candidate-logit
jev
single-forward-pass
commercial-use
Instructions to use Raymond1122/metask-jev-4b-policy-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raymond1122/metask-jev-4b-policy-mix with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raymond1122/metask-jev-4b-policy-mix")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Raymond1122/metask-jev-4b-policy-mix") model = AutoModelForMultimodalLM.from_pretrained("Raymond1122/metask-jev-4b-policy-mix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metask-jev-4b: Qwen3.5-4B LoRA for typed decisions (13-subset 79.6%, JevBench 80.1% @4096)
8a82297 verified Download tokenizer_config.json from Raymond1122/metask-jev-4b-policy-mix: direct link, hf CLI and curl.
- Browser
- Download file 1.12 kB
-
https://huggingface.co/Raymond1122/metask-jev-4b-policy-mix/resolve/7775e0b84ae69daae67967d91d34ef22693cd9a7/tokenizer_config.json
- Command line
-
hf download hf://Raymond1122/metask-jev-4b-policy-mix@7775e0b84ae69daae67967d91d34ef22693cd9a7/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Raymond1122/metask-jev-4b-policy-mix/resolve/7775e0b84ae69daae67967d91d34ef22693cd9a7/tokenizer_config.json
1.12 kB
| { | |
| "add_prefix_space": false, | |
| "audio_bos_token": "<|audio_start|>", | |
| "audio_eos_token": "<|audio_end|>", | |
| "audio_token": "<|audio_pad|>", | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "image_token": "<|image_pad|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_max_length": 262144, | |
| "model_specific_special_tokens": { | |
| "audio_bos_token": "<|audio_start|>", | |
| "audio_eos_token": "<|audio_end|>", | |
| "audio_token": "<|audio_pad|>", | |
| "image_token": "<|image_pad|>", | |
| "video_token": "<|video_pad|>", | |
| "vision_bos_token": "<|vision_start|>", | |
| "vision_eos_token": "<|vision_end|>" | |
| }, | |
| "pad_token": "<|endoftext|>", | |
| "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null, | |
| "video_token": "<|video_pad|>", | |
| "vision_bos_token": "<|vision_start|>", | |
| "vision_eos_token": "<|vision_end|>" | |
| } | |