Instructions to use Luciferalive/Alpha_Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luciferalive/Alpha_Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Luciferalive/Alpha_Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Luciferalive/Alpha_Bert") model = AutoModelForSequenceClassification.from_pretrained("Luciferalive/Alpha_Bert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (2c255c6290b4cdd975581267aa8fd2e6571f08ca)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:064660f481e7c6a5e3ed702ae4e536c341d5ee888bf6d278dcf668bb348ec687
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size 437961724
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