Instructions to use intelcomp/ipc_level1_B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_B") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95bb97f2cac9b58ff5ec6d8e405d28cfc671ebc4a448364ab6cfb03db236f187
- Size of remote file:
- 2.74 kB
- SHA256:
- f78d41f00a28720c117b2e2c2e257914d9398ad8582ef388ea96f41fc0ecf6a3
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