Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Ethan615/test-1150416 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ethan615/test-1150416 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ethan615/test-1150416")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ethan615/test-1150416") model = AutoModelForSequenceClassification.from_pretrained("Ethan615/test-1150416") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c875f03fb59350919b0e3ec6ff0ad8bf1816e64e9dfb2423840b4763d708dea
- Size of remote file:
- 5.27 kB
- SHA256:
- 64b92e0881bc1e8e1a9d1dd76dccd72b9500441a4efddcab30a6a1b1cb997f47
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