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
- Xet hash:
- 514cec8a53981a0be33a84418217532e9145093487656bc99b59a558146cc437
- Size of remote file:
- 4.09 kB
- SHA256:
- 1d36d7540d041d31b298e4a2595cb986158ed4aa916180b6eca8fdaad61a41b9
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