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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from intelcomp/ipc_level1_F: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/intelcomp/ipc_level1_F/resolve/main/training_args.bin
- Command line
-
hf download hf://intelcomp/ipc_level1_F/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/intelcomp/ipc_level1_F/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- f88bef22843900ee5715a55b206211508e4c130ef16583cf011905f7e4fe2c19
- Size of remote file:
- 2.74 kB
- SHA256:
- bfaf5488385767f5528ab77b13ee423a9a311a2700f88b57c84255addc6bd079
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