Instructions to use intelcomp/ipc_level1_H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_H with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_H", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_H") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_H", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cd378053b71e29f45910d96c964e29cc7961d2ff2902c14c406dd81577fe060
- Size of remote file:
- 1.42 GB
- SHA256:
- bc5b500d3813ed71c5403f20896faad37c16f14427950549649d94ed7e32c55f
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