Instructions to use Reza-Madani/mini-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reza-Madani/mini-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Reza-Madani/mini-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Reza-Madani/mini-bert") model = AutoModelForSequenceClassification.from_pretrained("Reza-Madani/mini-bert") - 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:e4026203577ff5f726735a30c44953408b33dfee8b4c80b8d27d2a58d83a18cb
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size 44696792
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