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 tokenizer.json from Villian7/HumanEmotions: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Villian7/HumanEmotions/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://Villian7/HumanEmotions@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Villian7/HumanEmotions/resolve/refs%2Fpr%2F1/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.