Instructions to use research-backup/roberta-large-semeval2012-average-prompt-e-nce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/roberta-large-semeval2012-average-prompt-e-nce with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="research-backup/roberta-large-semeval2012-average-prompt-e-nce")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research-backup/roberta-large-semeval2012-average-prompt-e-nce") model = AutoModel.from_pretrained("research-backup/roberta-large-semeval2012-average-prompt-e-nce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from research-backup/roberta-large-semeval2012-average-prompt-e-nce: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/research-backup/roberta-large-semeval2012-average-prompt-e-nce/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://research-backup/roberta-large-semeval2012-average-prompt-e-nce/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/research-backup/roberta-large-semeval2012-average-prompt-e-nce/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- a5134f602fa7106ebdb30b3988e964f266feeed55cabd4e024bba95f30ecc580
- Size of remote file:
- 1.42 GB
- SHA256:
- de8d87fbf91d94c8f7ac4c578e7c38f0cbb16d8d2120fb610fa8eb62f2dc537e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.