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")# pip install -U transformers accelerate # 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
Download training_args.bin from intelcomp/ipc_level1_G: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/intelcomp/ipc_level1_G/resolve/main/training_args.bin
- Command line
-
hf download hf://intelcomp/ipc_level1_G/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/intelcomp/ipc_level1_G/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- 97cdb751e4c5dce064a8a5ceac47e55658c02692f0611d1a518347c9957a20cc
- Size of remote file:
- 2.74 kB
- SHA256:
- 34c37f67c21e6efe2882d0cdfa94321def51beccd3525adee20f2d06e4cb5a3b
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