Instructions to use cruiser/distilbert_weight_decay_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cruiser/distilbert_weight_decay_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cruiser/distilbert_weight_decay_final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cruiser/distilbert_weight_decay_final") model = AutoModelForSequenceClassification.from_pretrained("cruiser/distilbert_weight_decay_final") - 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:e1a26e5b7ede88b27797aabec8ab7a79e89a0a7c08358f83a813c7afe44bb9d5
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size 267835644
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