Instructions to use pabagcha/roberta_crypto_profiling_task1_3_10_epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pabagcha/roberta_crypto_profiling_task1_3_10_epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pabagcha/roberta_crypto_profiling_task1_3_10_epochs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pabagcha/roberta_crypto_profiling_task1_3_10_epochs") model = AutoModelForSequenceClassification.from_pretrained("pabagcha/roberta_crypto_profiling_task1_3_10_epochs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae88a0dc7ce9d6efa2929af21a03288e6ee939cd94a356afb2384e2055b723b4
- Size of remote file:
- 3.96 kB
- SHA256:
- 075d4253fd3a488c12610772d66c05cad435fb251dca5fb1cf45427a66ce8ac6
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