Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use zzy113/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzy113/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zzy113/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zzy113/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("zzy113/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d901a5c09901cc46f7e169a6402467d9e1a043409f6f9522f9d35ed010c5ac3
- Size of remote file:
- 3.52 kB
- SHA256:
- f170a543b83e2be7aa9a06f1e9745fead65f0f2409c3a5982ec56a42182ef676
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