Instructions to use Minchoi2/ai.keepit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Minchoi2/ai.keepit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Minchoi2/ai.keepit")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Minchoi2/ai.keepit") model = AutoModelForSequenceClassification.from_pretrained("Minchoi2/ai.keepit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f56ff2841170b85bcba863813bf1dcf20d637ff27b736be754c13f035602ce57
- Size of remote file:
- 436 MB
- SHA256:
- b32eebd202f2a901c355cd8d742def66bc43ad3209c127cf515d4f2da324105c
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