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:
- 33279eaca68051d7b7e2843e6083adf381e94cd595eeb19c532fb83e3443a590
- Size of remote file:
- 1.42 GB
- SHA256:
- 0489f42720f0edd62b2b16e7db3459d7d4212ef521ab711fc993407713b73770
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