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")# 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:
- 91003549e51d8b5e867f1981b73f4e8d392d622b8f6d98f4e6fc13b24b084c09
- Size of remote file:
- 15.5 kB
- SHA256:
- 46df9fa0b0f11fbf3401de806fc1a967c7fd25b901534d06ed530221bf803d03
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