Instructions to use sunitha/roberta-customds-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sunitha/roberta-customds-finetune 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="sunitha/roberta-customds-finetune")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sunitha/roberta-customds-finetune") model = AutoModelForQuestionAnswering.from_pretrained("sunitha/roberta-customds-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sunitha/roberta-customds-finetune: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/sunitha/roberta-customds-finetune/resolve/main/training_args.bin
- Command line
-
hf download hf://sunitha/roberta-customds-finetune/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sunitha/roberta-customds-finetune/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- ba7502261de9c7b77391a037d0f2066dc763083c29ec395efc171d93d5f8ee10
- Size of remote file:
- 3.18 kB
- SHA256:
- abb32009a2f654808392070aba2188d476669559d8bdd1bd425396d7803bc13c
路
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