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 pytorch_model.bin from sunitha/roberta-customds-finetune: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/sunitha/roberta-customds-finetune/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sunitha/roberta-customds-finetune/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sunitha/roberta-customds-finetune/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 6513eb88ad4a79c079dce8d12708efec34d688654841fc863a00a1092c46a489
- Size of remote file:
- 496 MB
- SHA256:
- 7feb9a0a007661d8563ae597190e6bff26050d132f9ea86d8a76fe9d1dc3e52f
路
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