Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ceofast/distilbert-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceofast/distilbert-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ceofast/distilbert-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ceofast/distilbert-emotion") model = AutoModelForSequenceClassification.from_pretrained("ceofast/distilbert-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3733c672116b1cd64e02eb632be901c497505d6c60a3237b99b61477a4c0d18d
- Size of remote file:
- 4.73 kB
- SHA256:
- a63ebbdee61930705a7289216bd2fb486eeb48b472fabcc4c82c894fe72b162a
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