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:
- d633adb11854f077a806049c62d690f67893b8d726ac73bc172e90c10c8d5c7f
- Size of remote file:
- 268 MB
- SHA256:
- 551de7df01d9aabd784b41ce90e5c6099d6ac84235c75d5a2ab6180a5b40c952
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