Instructions to use FredDYyy/roberta-base-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FredDYyy/roberta-base-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="FredDYyy/roberta-base-squadv2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FredDYyy/roberta-base-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("FredDYyy/roberta-base-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FredDYyy/roberta-base-squadv2: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/FredDYyy/roberta-base-squadv2/resolve/main/training_args.bin
- Command line
-
hf download hf://FredDYyy/roberta-base-squadv2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/FredDYyy/roberta-base-squadv2/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 41898612493e60fa5266afcd79a6160a2d49da747d8af4fc2a2b3e400d178c5b
- Size of remote file:
- 3.58 kB
- SHA256:
- 276898c140d5547a0996e8467f05cbdcf7f42f9e38d6224c861bcaee38701ed4
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