Instructions to use jason9693/kcelectra-v2022-dev-apeach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jason9693/kcelectra-v2022-dev-apeach with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jason9693/kcelectra-v2022-dev-apeach")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jason9693/kcelectra-v2022-dev-apeach") model = AutoModelForSequenceClassification.from_pretrained("jason9693/kcelectra-v2022-dev-apeach", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jason9693/kcelectra-v2022-dev-apeach: direct link, hf CLI and curl.
- Browser
- Download file 511 MB
-
https://huggingface.co/jason9693/kcelectra-v2022-dev-apeach/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jason9693/kcelectra-v2022-dev-apeach/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jason9693/kcelectra-v2022-dev-apeach/resolve/main/pytorch_model.bin
511 MB
- Xet hash:
- a1174ca35a72ed9f305f8d228e0a6762604a519ea932688889cecdc6c6e9fd25
- Size of remote file:
- 511 MB
- SHA256:
- fa6703e47199fdd3750ad4fe6b3fdc44a5b2d9caf181f7a983ed749608c8bb38
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