Instructions to use TeraSpace/replica_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeraSpace/replica_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TeraSpace/replica_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TeraSpace/replica_classification") model = AutoModelForSequenceClassification.from_pretrained("TeraSpace/replica_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md (#2)
- Update README.md (65dc9c214c32c42cb1dc3af8bc1d5dcbe8a382fb) Co-authored-by: Denis Petrov <Den4ikAI@users.noreply.huggingface.co>9247da5
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Update README.md (#1)
- Update README.md (9ed0b0ec4ad7d9eb0f4bcf422fc602a33f18c60b) Co-authored-by: Denis Petrov <Den4ikAI@users.noreply.huggingface.co>24b0d37 -
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