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:
- e1e32d5988dc12b17a48ecadcb18973a54d372f68bf5d4b8148d79f5fefce8a0
- Size of remote file:
- 3.58 kB
- SHA256:
- df04d1bba26173673f1004e8753370bdc5c93d2bada089b2d6c026f790538c4c
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