Instructions to use aware-ai/roberta-large-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/roberta-large-squadv2 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="aware-ai/roberta-large-squadv2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("aware-ai/roberta-large-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("aware-ai/roberta-large-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from aware-ai/roberta-large-squadv2: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/aware-ai/roberta-large-squadv2/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://aware-ai/roberta-large-squadv2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/aware-ai/roberta-large-squadv2/resolve/main/flax_model.msgpack
1.42 GB
- Xet hash:
- d988b59eefe6ffb124ddcd092c088f0af4eddc26a742c8f5138f129cce664ef8
- Size of remote file:
- 1.42 GB
- SHA256:
- 287fd224518526e1473afcd6969cd455edc95056539c562850b4ad86080e4c5a
路
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