Instructions to use intelcomp/ipc_level0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level0") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dad8211fd31278e9285bb3b87e9ea71d283245275b95f23f2537a72a157dca3e
- Size of remote file:
- 1.42 GB
- SHA256:
- 59ff74ae4a5347e0d3c83093ba2173148ebf809267451b51b6ce39167bbb6962
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