Instructions to use pere/roberta-base-exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/roberta-base-exp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pere/roberta-base-exp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from pere/roberta-base-exp: direct link, hf CLI and curl.
- Browser
- Download file 9.1 MB
-
https://huggingface.co/pere/roberta-base-exp/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://pere/roberta-base-exp@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/pere/roberta-base-exp/resolve/refs%2Fpr%2F1/tokenizer.json
9.1 MB
- Xet hash:
- dacdd63d612afc4abea85d51d8066a35a1fae754db9c015da17515376017db60
- Size of remote file:
- 9.1 MB
- SHA256:
- a898ea75433890f6610f4e470b8ebeb0c21dce5c8dd61f892eb09eb5919d2e2c
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