Instructions to use intelcomp/ipc_level1_E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_E") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_E") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdce4bc9ecc7219d69fd6b13d83171d849897e5a1b962e74ca8c473c04f9f696
- Size of remote file:
- 1.42 GB
- SHA256:
- 14ddfbbe335a13ef34042e255f2aadce00e06a8219309f81822695b0d64275d2
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