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:
- 39a5a3be5934e41cd26895b7aac16e73fb0b4b56161c43b1e4fd22dd4d52a622
- Size of remote file:
- 2.48 kB
- SHA256:
- 3ede448aac65db0a1c8da70bed695e971ec99a3b7595b7373bc24bebb8232e59
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