Instructions to use Delilo/CryptoBertStrong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Delilo/CryptoBertStrong with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Delilo/CryptoBertStrong")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Delilo/CryptoBertStrong") model = AutoModelForSequenceClassification.from_pretrained("Delilo/CryptoBertStrong", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59ff1c954314bea0dab30c77a8a5d7a46ef12fd297220f6c64fbebdb10395724
- Size of remote file:
- 711 MB
- SHA256:
- f7224b5a88218cb56bb6c1e82033097ecffb2a2779e8e4cae58929b818614a34
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