Instructions to use GeorgeDaDude/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeorgeDaDude/tmp_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GeorgeDaDude/tmp_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GeorgeDaDude/tmp_trainer") model = AutoModelForSequenceClassification.from_pretrained("GeorgeDaDude/tmp_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f0401592138c1d52f247920a6cb586ea48a7fc62d8b35ed53d9ca92ec8daead
- Size of remote file:
- 4.92 kB
- SHA256:
- 59a5efaece7950fbe0e0b07940dff74cdd8a9ea2c10d56f00916c5ddbcb10f8b
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