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")# 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:
- 48387e56c26fed865495acf52ca1d82ac5fff4267941087dc19f9cffc2eb24c7
- Size of remote file:
- 15.5 kB
- SHA256:
- 66c8a6f313617d39fb13ca970de19c598085e0ec817ebac9d7a6b7c418de6c51
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