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 thresholds.json from proxy3d/multi-motions-28: direct link, hf CLI and curl.
- Browser
- Download file 936 Bytes
-
https://huggingface.co/proxy3d/multi-motions-28/resolve/main/thresholds.json
- Command line
-
hf download hf://proxy3d/multi-motions-28/thresholds.json
-
curl -L -o thresholds.json https://huggingface.co/proxy3d/multi-motions-28/resolve/main/thresholds.json
936 Bytes
| { | |
| "admiration": 0.5, | |
| "amusement": 0.30000001192092896, | |
| "anger": 0.5, | |
| "annoyance": 0.1599999964237213, | |
| "approval": 0.20000000298023224, | |
| "caring": 0.3199999928474426, | |
| "confusion": 0.18000000715255737, | |
| "curiosity": 0.23999999463558197, | |
| "desire": 0.41999998688697815, | |
| "disappointment": 0.17000000178813934, | |
| "disapproval": 0.14000000059604645, | |
| "disgust": 0.3400000035762787, | |
| "embarrassment": 0.38999998569488525, | |
| "excitement": 0.3799999952316284, | |
| "fear": 0.12999999523162842, | |
| "gratitude": 0.6200000047683716, | |
| "grief": 0.3799999952316284, | |
| "joy": 0.33000001311302185, | |
| "love": 0.3700000047683716, | |
| "nervousness": 0.3199999928474426, | |
| "optimism": 0.3799999952316284, | |
| "pride": 0.4000000059604645, | |
| "realization": 0.17000000178813934, | |
| "relief": 0.05999999865889549, | |
| "remorse": 0.20999999344348907, | |
| "sadness": 0.4699999988079071, | |
| "surprise": 0.33000001311302185, | |
| "neutral": 0.20999999344348907 | |
| } |