Instructions to use VSPuzzler/SemevalClickbaitSpoilingNew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VSPuzzler/SemevalClickbaitSpoilingNew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VSPuzzler/SemevalClickbaitSpoilingNew")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/SemevalClickbaitSpoilingNew") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/SemevalClickbaitSpoilingNew", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload with huggingface_hub
Browse files- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +3 -503
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| 131 |
}
|
| 132 |
],
|
| 133 |
"max_steps": 4000,
|
| 134 |
"num_train_epochs": 20,
|
| 135 |
+
"total_flos": 1059758088192000.0,
|
| 136 |
"trial_name": null,
|
| 137 |
"trial_params": null
|
| 138 |
}
|