Instructions to use intelcomp/ipc_level1_H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_H with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_H")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_H") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_H") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 419f20b9b56dc56fe6ac75fc95061a2ed4d2575a63e9b984bfb6315ae1f2f452
- Size of remote file:
- 1.42 GB
- SHA256:
- 1d549fa5163630decdb3cca84499b6f6d5c21870499eb50a69d6f0a1c07e215a
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