Text Classification
Transformers
PyTorch
Safetensors
English
custom_multilabel_emotion
emotion-classification
multilabel-classification
Instructions to use EnJiZ/FirstTimeUp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EnJiZ/FirstTimeUp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EnJiZ/FirstTimeUp")# pip install -U transformers accelerate # Load model directly from transformers import MultiLabelEmotionClassifier model = MultiLabelEmotionClassifier.from_pretrained("EnJiZ/FirstTimeUp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from EnJiZ/FirstTimeUp: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/EnJiZ/FirstTimeUp/resolve/main/model.safetensors
- Command line
-
hf download hf://EnJiZ/FirstTimeUp/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/EnJiZ/FirstTimeUp/resolve/main/model.safetensors
265 MB
- Xet hash:
- 2ca0ec7385ab233be5b4434051e5d02d37b0d30089f26d888fbb053422d4be2b
- Size of remote file:
- 265 MB
- SHA256:
- 0541799e9cfe7ba672cff94a74980d64db9081560c1f9842311038ad753fc5ba
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