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:
- a2df91d58bfe62e4f8ff9eff035d8c1a097db2e630cacc9048b9ae0eccd37bcc
- Size of remote file:
- 557 Bytes
- SHA256:
- bc81e80b77ab2c970f6f7bf3d3b21edddb9ce82f2c9177c04030356dbc953210
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