Instructions to use arpanghoshal/EkmanClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arpanghoshal/EkmanClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arpanghoshal/EkmanClassifier")# Load model directly from transformers import AutoTokenizer, BertForMultiLabelClassification tokenizer = AutoTokenizer.from_pretrained("arpanghoshal/EkmanClassifier") model = BertForMultiLabelClassification.from_pretrained("arpanghoshal/EkmanClassifier") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:d0479222e60e8099caa7575575ac2078ca1cc06ef8733dbbcb3e4670a1788c9b
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size 433286148
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