Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use marianna13/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marianna13/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marianna13/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marianna13/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("marianna13/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f76afe04af604ec8c765a5c2efff44d990143566b91157d513d18d002af4d140
- Size of remote file:
- 3.96 kB
- SHA256:
- 024b3ff56d21be9bddec9b3ab0239afde9fe36bf58abc1ee42beb8d766519f39
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