Instructions to use intelcomp/ipc_level1_G with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_G with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_G", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_G") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_G", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 753b5f6a7358b3a22f6690d2063fbdcc75a02187c3e2af5f7971c17514489a7c
- Size of remote file:
- 1.42 GB
- SHA256:
- f998096a5e83ff5eef16851273e4425d8488f774cb4be510dc1c4d374db69c88
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