Instructions to use relbert/relbert-roberta-base-nce-nell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-base-nce-nell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-base-nce-nell")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-base-nce-nell") model = AutoModel.from_pretrained("relbert/relbert-roberta-base-nce-nell", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from relbert/relbert-roberta-base-nce-nell: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/relbert/relbert-roberta-base-nce-nell/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://relbert/relbert-roberta-base-nce-nell/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/relbert/relbert-roberta-base-nce-nell/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 2e46cfc208297ea9826ca79a678a3832e0d2c89ae48b729902957a83b73cef3e
- Size of remote file:
- 499 MB
- SHA256:
- 75c42fbfef2db729b50b80d282ffaa64de368206ffea68651b65ccd66cf28e13
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