Text Classification
Transformers
Safetensors
English
Russian
xlm-roberta
emotion-classification
multi-label-classification
goemotions
english
russian
affective-computing
text-embeddings-inference
Instructions to use proxy3d/multi-motions-28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proxy3d/multi-motions-28 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="proxy3d/multi-motions-28")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("proxy3d/multi-motions-28") model = AutoModelForSequenceClassification.from_pretrained("proxy3d/multi-motions-28", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download CITATION.cff from proxy3d/multi-motions-28: direct link, hf CLI and curl.
- Browser
- Download file 671 Bytes
-
https://huggingface.co/proxy3d/multi-motions-28/resolve/main/CITATION.cff
- Command line
-
hf download hf://proxy3d/multi-motions-28/CITATION.cff
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curl -L -o CITATION.cff https://huggingface.co/proxy3d/multi-motions-28/resolve/main/CITATION.cff
671 Bytes
| cff-version: 1.2.0 | |
| message: "If you use this model or inference code, please credit Ilya Zelenskiy (proxy3d) and link to the model repository." | |
| title: "Multi-Motions 28 — EN/RU" | |
| type: software | |
| authors: | |
| - given-names: Ilya | |
| family-names: Zelenskiy | |
| version: 1.0.0 | |
| date-released: 2026-09-20 | |
| license: MIT | |
| repository-code: "https://huggingface.co/proxy3d/multi-motions-28" | |
| url: "https://t.me/greenruff" | |
| abstract: "Inference release of a bilingual English/Russian XLM-RoBERTa multi-label emotion classifier with 28 GoEmotions-compatible outputs." | |
| keywords: | |
| - emotion classification | |
| - GoEmotions | |
| - XLM-RoBERTa | |
| - English | |
| - Russian | |
| - multi-label classification | |