Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gavinqiangli/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gavinqiangli/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gavinqiangli/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gavinqiangli/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("gavinqiangli/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70ae1d908b24a3d57ef5d4ec5816c1ca3dd1a6a350513f13bb31f3b99b2ef81b
- Size of remote file:
- 5.3 kB
- SHA256:
- 16a93326641301ff7fabeb83879d3053f30fdfaf9b4fdaa0c92ec63cb8b63f5c
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