Instructions to use cruiser/distilbert_final_config_dropout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cruiser/distilbert_final_config_dropout with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cruiser/distilbert_final_config_dropout")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cruiser/distilbert_final_config_dropout") model = AutoModelForSequenceClassification.from_pretrained("cruiser/distilbert_final_config_dropout") - 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:ab9756d7eb185b3db9f967b85ddbabcd5b3e315590ed0ff0582e36bc24672716
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size 267835644
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