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:
- d6c17933e82c61823669f85b9a9e5894ab6249089d22b0723bce6ef5ee1f053e
- Size of remote file:
- 1.42 GB
- SHA256:
- 6d6cbd5b0e965f5db46e3191c881a0dabac5a28e08fa9941f5fb62ee8ea7562a
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