Instructions to use Aimaker1435/IS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use Aimaker1435/IS with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:Aimaker1435/IS') tokenizer = open_clip.get_tokenizer('hf-hub:Aimaker1435/IS') - Notebooks
- Google Colab
- Kaggle
File size: 367 Bytes
e009085 4f7928b ea965d9 7e0078f ea0d78e ea965d9 7e0078f ea0d78e ea965d9 7e0078f ea0d78e 4f7928b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | ---
license: mit
datasets:
- HuggingFaceM4/WebSight
language:
- en
- zh
- bn
- hi
- ur
- ca
- lo
- el
- es
- ja
- th
- tt
metrics:
- meteor
- recall
- mahalanobis
base_model:
- Hack337/ChatGPT-5
- Jackrong/Qwen3.5-9B-Gemini-3.1-Pro-Reasoning-Distill-GGUF
new_version: Jackrong/Qwen3.5-9B-Gemini-3.1-Pro-Reasoning-Distill-GGUF
library_name: open_clip
tags:
- agent
--- |