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")# 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
- Xet hash:
- 60e994dd0103661fc494360c66abb1ec9f99d0f4953e0ce66aa5f12558729231
- Size of remote file:
- 268 MB
- SHA256:
- fb52f6fa939545ce5cfcc18e41f1114d38847262e2d01d56f7f354534221a0e5
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