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:
- 49a2ad39cf8620b23b2c6a0b8ebd89c9a974d4ad125f4c23c2a33a8330264dc1
- Size of remote file:
- 15.5 kB
- SHA256:
- b7ca6830334bf18495fe6f0e4691cd2803d7aef8e7fded5e9158474c3d9f84ab
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