Text Classification
Transformers
Safetensors
distilbert
emotion-classification
text-embeddings-inference
Instructions to use hamzawaheed/emotion-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hamzawaheed/emotion-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hamzawaheed/emotion-classification-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hamzawaheed/emotion-classification-model") model = AutoModelForSequenceClassification.from_pretrained("hamzawaheed/emotion-classification-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e281bf93d65fb8f131e685c96ca4397a02966a1a91ca02a54c31461fe38bf35
- Size of remote file:
- 5.3 kB
- SHA256:
- 037b20a108e5e1bbfc84287b9c78f6ee884f750423b982e7559a78a0b4e5e6e6
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