Instructions to use korca/bae-roberta-base-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/bae-roberta-base-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="korca/bae-roberta-base-rte")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("korca/bae-roberta-base-rte") model = AutoModelForSequenceClassification.from_pretrained("korca/bae-roberta-base-rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from korca/bae-roberta-base-rte: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/korca/bae-roberta-base-rte/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://korca/bae-roberta-base-rte/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/korca/bae-roberta-base-rte/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 3f33e0a1b9ecc7db3c797594fae879683c82e4fda5a4af7d7bb16ef30d63469a
- Size of remote file:
- 499 MB
- SHA256:
- f97964e6f74ee825e786c270e206728270e453a77252be8a92822b20ef90bc42
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