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/training_args.bin from Doohae/roberta: direct link, hf CLI and curl.
- Browser
- Download file 2.35 kB
-
https://huggingface.co/Doohae/roberta/resolve/main/checkpoint-21500/training_args.bin
- Command line
-
hf download hf://Doohae/roberta/checkpoint-21500/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Doohae/roberta/resolve/main/checkpoint-21500/training_args.bin
2.35 kB
- Xet hash:
- d7f9693ad5c602c5ac4e5a5a914d199e2e80e3559e6d416b90912fa4bcdd19e1
- Size of remote file:
- 2.35 kB
- SHA256:
- 0dfd0a4787636edc929303bed05a4a1ab521eff925f1ec32039ce39afc930add
路
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