Instructions to use lordtt13/emo-mobilebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lordtt13/emo-mobilebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lordtt13/emo-mobilebert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lordtt13/emo-mobilebert") model = AutoModelForSequenceClassification.from_pretrained("lordtt13/emo-mobilebert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (6ffbca4ed0808628a6e4ddf8181804c8e3ecc93a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>26d8fcb
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/lordtt13/emo-mobilebert/README.md5536442
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Update tf_model.h5
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initial commit
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