Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Blankyy/dummymodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Blankyy/dummymodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Blankyy/dummymodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Blankyy/dummymodel") model = AutoModelForSequenceClassification.from_pretrained("Blankyy/dummymodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dacefd4ee06117a36f30a0c487cf6ba7fdc3f77f7969e0d5e84edf174200af4
- Size of remote file:
- 438 MB
- SHA256:
- 0822dda74809fa3e4c03232d9600d436da74d2d4df93b82c714c984fc5ca0a9d
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