Instructions to use Doohae/roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Doohae/roberta with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Doohae/roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Doohae/roberta") model = AutoModelForQuestionAnswering.from_pretrained("Doohae/roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-21500/pytorch_model.bin from Doohae/roberta: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/Doohae/roberta/resolve/main/checkpoint-21500/pytorch_model.bin
- Command line
-
hf download hf://Doohae/roberta/checkpoint-21500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Doohae/roberta/resolve/main/checkpoint-21500/pytorch_model.bin
1.34 GB
- Xet hash:
- c96697d80695a82976dfbc339ce544d2f46c57abe2d22698438d080c2b00924b
- Size of remote file:
- 1.34 GB
- SHA256:
- e4f52f971e31d560b13a83619c857ecc8b4cd53b872bca1d9dbae87ba50ea616
路
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