Instructions to use Davegd/distillbert_complaints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davegd/distillbert_complaints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Davegd/distillbert_complaints")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Davegd/distillbert_complaints") model = AutoModelForSequenceClassification.from_pretrained("Davegd/distillbert_complaints", device_map="auto") - 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:e93d80c966e1669bf42940628534c2dbed56f01d9e68016dd6dcf8e3be4c05c6
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size 267841796
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