Instructions to use Geo/bert-base-multilingual-cased-fine-tuned-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geo/bert-base-multilingual-cased-fine-tuned-intent-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Geo/bert-base-multilingual-cased-fine-tuned-intent-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Geo/bert-base-multilingual-cased-fine-tuned-intent-classification") model = AutoModelForSequenceClassification.from_pretrained("Geo/bert-base-multilingual-cased-fine-tuned-intent-classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:9ef2e58a702cd847163d0c93803ebab8d4d758374499d17dd8f74d9b7fe255c7
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size 711458836
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