Instructions to use appletreeleaf/dummy-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use appletreeleaf/dummy-bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="appletreeleaf/dummy-bert-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("appletreeleaf/dummy-bert-model") model = AutoModelForSequenceClassification.from_pretrained("appletreeleaf/dummy-bert-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83c3b220b9a9cde8ff3dff88650b14bab03f70623198acd99ea05758004c72db
- Size of remote file:
- 433 MB
- SHA256:
- b5fc595ddba3515e976cfc7a49309eb81aa175d3c344448fd293b99c3f04c18e
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