Instructions to use research-backup/relbert-roberta-large-nce-e-nell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/relbert-roberta-large-nce-e-nell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="research-backup/relbert-roberta-large-nce-e-nell")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research-backup/relbert-roberta-large-nce-e-nell") model = AutoModel.from_pretrained("research-backup/relbert-roberta-large-nce-e-nell", device_map="auto") - Notebooks
- Google Colab
- Kaggle
relbert-roberta-large-nce-e-nell / vis_conceptnet_relational_similarity /relbert-roberta-large-nce-e-nell.bin
Download vis_conceptnet_relational_similarity/relbert-roberta-large-nce-e-nell.bin from research-backup/relbert-roberta-large-nce-e-nell: direct link, hf CLI and curl.
- Browser
- Download file 4.78 MB
-
https://huggingface.co/research-backup/relbert-roberta-large-nce-e-nell/resolve/885bca4f9c7a17d96f4a253ef71855350a3b44b7/vis_conceptnet_relational_similarity/relbert-roberta-large-nce-e-nell.bin
- Command line
-
hf download hf://research-backup/relbert-roberta-large-nce-e-nell@885bca4f9c7a17d96f4a253ef71855350a3b44b7/vis_conceptnet_relational_similarity/relbert-roberta-large-nce-e-nell.bin
-
curl -L -o relbert-roberta-large-nce-e-nell.bin https://huggingface.co/research-backup/relbert-roberta-large-nce-e-nell/resolve/885bca4f9c7a17d96f4a253ef71855350a3b44b7/vis_conceptnet_relational_similarity/relbert-roberta-large-nce-e-nell.bin
4.78 MB
- Xet hash:
- 434446b6e5c57d12e9d3be96836277cb8f4b608cd87be2b7f7384a85b1c8e036
- Size of remote file:
- 4.78 MB
- SHA256:
- e4920439a7beb6261da07b3434633e7a065039e1cc6948eae0327529bbc8313c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.