Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use wyxwangmed/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wyxwangmed/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wyxwangmed/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wyxwangmed/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("wyxwangmed/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e690281315deb93959aa39f6ada17c5cf9f85bbd56b1f137a8bf6a8f1791d77e
- Size of remote file:
- 5.11 kB
- SHA256:
- 2989bef0bd6a254e86a0d6e979d651b6aad1d469ca28855fe0e4b5174ae4f13e
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