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:
- c5ae7febce91d61ae50e2d3fe455afcc6479c3d7ddf4bd57e4ed5c7192dbe2f7
- Size of remote file:
- 4.41 kB
- SHA256:
- d5b828f176f597fdc76d9f8c5186171efb6b44361af5533138bc54eb5cbc76d7
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