Instructions to use pabagcha/roberta_crypto_profiling_task1_complete_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pabagcha/roberta_crypto_profiling_task1_complete_deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pabagcha/roberta_crypto_profiling_task1_complete_deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pabagcha/roberta_crypto_profiling_task1_complete_deberta") model = AutoModelForSequenceClassification.from_pretrained("pabagcha/roberta_crypto_profiling_task1_complete_deberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92755e7a367688f903fb5c08eeaacbe7e1558b2d30b49ebfcce472e0e4a25bd6
- Size of remote file:
- 3.96 kB
- SHA256:
- f63c7b5f322c0929f9512df88b6b628c2ee85ada33422c98637a8fea87fc97a1
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