Instructions to use NoteThinking/ClassifierEmotion03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NoteThinking/ClassifierEmotion03 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NoteThinking/ClassifierEmotion03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from NoteThinking/ClassifierEmotion03: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/NoteThinking/ClassifierEmotion03/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://NoteThinking/ClassifierEmotion03/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/NoteThinking/ClassifierEmotion03/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- f5b7827d13c32f703a0bfe06efd0fd69ab1175bea7e689661ee67cd5555dc834
- Size of remote file:
- 168 MB
- SHA256:
- 1827b0cffb68c3cd8175d2a8c4948b22f30b1ed1c018ccf189e2a993e2d247d8
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