Instructions to use ayoubkirouane/BERT-Emotions-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayoubkirouane/BERT-Emotions-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayoubkirouane/BERT-Emotions-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayoubkirouane/BERT-Emotions-Classifier") model = AutoModelForSequenceClassification.from_pretrained("ayoubkirouane/BERT-Emotions-Classifier", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:70b094b2e942454a2aa77bb81b607ea75236e95524d0250f3d0c4240d39a13bc
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size 437986332
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