Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use cnicu/tweet_emotions_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cnicu/tweet_emotions_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cnicu/tweet_emotions_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cnicu/tweet_emotions_classifier") model = AutoModelForSequenceClassification.from_pretrained("cnicu/tweet_emotions_classifier") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:aebc4920beedbd3ae1d65466de63ae6385b894125f28217e5c67b7b9b73975c2
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size 267838720
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