Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use hypo69/my_model_from_existing_datasets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hypo69/my_model_from_existing_datasets with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hypo69/my_model_from_existing_datasets")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hypo69/my_model_from_existing_datasets") model = AutoModelForSequenceClassification.from_pretrained("hypo69/my_model_from_existing_datasets") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0854eacae97f50da91e022f6fc5a08f7a0c7a6b33ada2be37a6ffa35225382b2
- Size of remote file:
- 5.37 kB
- SHA256:
- 0a2f5c8b3a07de363dce5e9169136ef2a4a40496c15787ea3a46c88c566a0216
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