Instructions to use cryptoslamAlex/seq_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cryptoslamAlex/seq_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cryptoslamAlex/seq_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cryptoslamAlex/seq_classification") model = AutoModelForSequenceClassification.from_pretrained("cryptoslamAlex/seq_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a7b4f2629a1040d1188cf1236ebff3f8176a3512b2d8b3e4800bfc5e6df1910
- Size of remote file:
- 268 MB
- SHA256:
- 50b4cd2d2c675f4d42d79960617c117f974ec788f205a1bc6dc31f98c36227d7
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