Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Villian7/HumanEmotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Villian7/HumanEmotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Villian7/HumanEmotions")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Villian7/HumanEmotions") model = AutoModelForSequenceClassification.from_pretrained("Villian7/HumanEmotions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Villian7/HumanEmotions: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/Villian7/HumanEmotions/resolve/main/training_args.bin
- Command line
-
hf download hf://Villian7/HumanEmotions/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Villian7/HumanEmotions/resolve/main/training_args.bin
3.9 kB
- Xet hash:
- b5ac1cb299494dbd9bfef45f9671908f45a75141609054f9368f1bb05bd4a9c9
- Size of remote file:
- 3.9 kB
- SHA256:
- bb917486057c677b42197ba73986f5209b72d19ef51fdec671de1f9612a50756
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