Instructions to use susghosh/roberta-large-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susghosh/roberta-large-squad 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="susghosh/roberta-large-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("susghosh/roberta-large-squad") model = AutoModelForQuestionAnswering.from_pretrained("susghosh/roberta-large-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from susghosh/roberta-large-squad: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/susghosh/roberta-large-squad/resolve/main/training_args.bin
- Command line
-
hf download hf://susghosh/roberta-large-squad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/susghosh/roberta-large-squad/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 7de7523470cf2247c626d2b4999f5c1e49af752d5d399fef167dfbb28b232a04
- Size of remote file:
- 3.06 kB
- SHA256:
- eca7df2ac33654e11e91f6b132c45fb09b5778db43419cb81ffff440ee2c9190
路
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