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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d599b2c7d0de734f8e6592521069b2f10b826b9e6b866392bad5de23a7f38f74
- Size of remote file:
- 17.6 kB
- SHA256:
- 79c6c475f7f9e1eedf88fa4fee6a35cdb392d2f8258ac19db5995b78fd175097
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