Instructions to use intelcomp/ipc_level1_E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_E") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0324dc68b55efb6e1444caca8912fc5d332c6d8d9cf8866725451dc98a6d7ed2
- Size of remote file:
- 1.42 GB
- SHA256:
- b9aa3f2d43b1c30f0a5c71b3e0ee8fb3eb50f649e8e74067770a9f5f56d04837
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