Text Classification
Transformers
Safetensors
qwen3_5
image-text-to-text
typed-decisions
calibrated-classification
system-one
classification
structured-prediction
candidate-logit
jev
single-forward-pass
multilingual
commercial-use
Instructions to use wayfind/metask-jev-4b-policy-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wayfind/metask-jev-4b-policy-mix with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wayfind/metask-jev-4b-policy-mix")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("wayfind/metask-jev-4b-policy-mix") model = AutoModelForMultimodalLM.from_pretrained("wayfind/metask-jev-4b-policy-mix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from wayfind/metask-jev-4b-policy-mix: direct link, hf CLI and curl.
- Browser
- Download file 164 Bytes
-
https://huggingface.co/wayfind/metask-jev-4b-policy-mix/resolve/main/generation_config.json
- Command line
-
hf download hf://wayfind/metask-jev-4b-policy-mix/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/wayfind/metask-jev-4b-policy-mix/resolve/main/generation_config.json
164 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 248046, | |
| 248044 | |
| ], | |
| "pad_token_id": 248044, | |
| "transformers_version": "5.17.0", | |
| "use_cache": true | |
| } | |