Text Classification
Transformers
Safetensors
English
distilbert
emotion
sentiment
fine-tuned
text-embeddings-inference
Instructions to use cyberboyayush/emotion-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyberboyayush/emotion-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cyberboyayush/emotion-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cyberboyayush/emotion-distilbert") model = AutoModelForSequenceClassification.from_pretrained("cyberboyayush/emotion-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c2ae6b327f5424504e24e5faafb73548ccff5428595d5a8c63d42b38e2c820f
- Size of remote file:
- 5.27 kB
- SHA256:
- a33d8a1111ecbbed598d20e46bf8bdaf791e789f05a2ff5f1502768907c21dac
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