Instructions to use sangmini/FC_komrc_1e6_unbalance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sangmini/FC_komrc_1e6_unbalance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sangmini/FC_komrc_1e6_unbalance")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sangmini/FC_komrc_1e6_unbalance") model = AutoModelForSequenceClassification.from_pretrained("sangmini/FC_komrc_1e6_unbalance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sangmini/FC_komrc_1e6_unbalance: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/sangmini/FC_komrc_1e6_unbalance/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sangmini/FC_komrc_1e6_unbalance/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sangmini/FC_komrc_1e6_unbalance/resolve/main/pytorch_model.bin
2.24 GB
- Xet hash:
- 1be1792642db89ac6d6881963b0cec24b1f5e0159e16850a11150110cadd220a
- Size of remote file:
- 2.24 GB
- SHA256:
- 48e5193f6a15d9ee8ec85ca3f0a1b23310d67561df4dd757d1061ec32f3d0be9
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