Instructions to use Bakobiibizo/nimble-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bakobiibizo/nimble-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bakobiibizo/nimble-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bakobiibizo/nimble-bert") model = AutoModelForSequenceClassification.from_pretrained("Bakobiibizo/nimble-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b5856814eea40f7c4d9bf2032ceac602e9e9048fad9372a92553308b653dce5
- Size of remote file:
- 438 MB
- SHA256:
- 934989a6c6465c39311acbb466e8e27e4a715539c3baa95c7c66b424a6c27a66
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