Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use zwellington/microtest-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zwellington/microtest-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zwellington/microtest-2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zwellington/microtest-2.0") model = AutoModelForSequenceClassification.from_pretrained("zwellington/microtest-2.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a098a0d05305d50056cc98dfb79cc0145ceed173552f062e7e26e9499c6a3547
- Size of remote file:
- 438 MB
- SHA256:
- b213492ab782b8e20c49227f1648939f4b16a2cc1242c8226224e18f34ace8a9
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