Instructions to use intelcomp/ipc_level1_F with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_F with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_F")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_F") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_F") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d5803ed500a896cfa53bbe11a735af0c85c24723af1c90f37f790ca1961c73d
- Size of remote file:
- 1.42 GB
- SHA256:
- d310d7bc7dd5359978436660ff9e735faa514fce78bbd55b73622aa8f2ae41b5
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