Instructions to use wietsedv/bert-base-dutch-cased-finetuned-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wietsedv/bert-base-dutch-cased-finetuned-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wietsedv/bert-base-dutch-cased-finetuned-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wietsedv/bert-base-dutch-cased-finetuned-sentiment") model = AutoModelForSequenceClassification.from_pretrained("wietsedv/bert-base-dutch-cased-finetuned-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add TF weights
#1
by joaogante - opened
- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:124296dc4fa8dddb1c1d349a4874edd7fbbce069f76c5b4dbb7b60e137efe542
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size 436619544
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