Instructions to use prajjwal1/roberta_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajjwal1/roberta_new with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("prajjwal1/roberta_new") model = AutoModelForMultipleChoice.from_pretrained("prajjwal1/roberta_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from prajjwal1/roberta_new: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/prajjwal1/roberta_new/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://prajjwal1/roberta_new/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/prajjwal1/roberta_new/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- 86ec36f14d93e26d1f1980d35fdba1f7984f3f9d824842f2ed285de33b2d0d2a
- Size of remote file:
- 1.42 GB
- SHA256:
- 0fe7b99d1e876a71a01bb72e6fa40ed594fa455dcb09b74d97f26f76d873cc2e
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