Instructions to use intelcomp/ipc_level1_C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_C with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_C")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_C") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_C") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea02b4a52cbd96deb7ff74802d8f0b7d1124181334e7ee6a6abf6fcee63d1033
- Size of remote file:
- 2.74 kB
- SHA256:
- 52e4517a5c70ca759fe24cd776a9e49e3eb0ab855f7c9fa246d74280481a275f
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