Instructions to use deprem-ml/intent_128k_v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deprem-ml/intent_128k_v13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deprem-ml/intent_128k_v13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deprem-ml/intent_128k_v13") model = AutoModelForSequenceClassification.from_pretrained("deprem-ml/intent_128k_v13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d12b812f34d92d5ea290829afbaeb2c1656af221e393a1c793cba73e9d33d6f6
- Size of remote file:
- 737 MB
- SHA256:
- a07fdb3fd82d9bb5a45939f74ade2d0b5db09c659cc1084c1ff898a3bc6ce06e
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