Text Classification
Transformers
Safetensors
Laya
multilingual
en
zh
ruhui
jev
system-one
calibrated-decisions
rlcd
classification
routing
scoring
guardrails
moderation
reinforcement-learning
commercial-use
Instructions to use anyforge/ruhui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyforge/ruhui with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anyforge/ruhui")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anyforge/ruhui", device_map="auto") - Laya
How to use anyforge/ruhui with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download 0.8B/tokenizer.json from anyforge/ruhui: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/anyforge/ruhui/resolve/main/0.8B/tokenizer.json
- Command line
-
hf download hf://anyforge/ruhui/0.8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/anyforge/ruhui/resolve/main/0.8B/tokenizer.json
20 MB
- Xet hash:
- 777bcaa63794fa47b8f53680be9d6d176f1fcbd7ba03cdc6c3bae2b3d76b323f
- Size of remote file:
- 20 MB
- SHA256:
- 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.