Instructions to use Raynok/roberta-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raynok/roberta-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="Raynok/roberta-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Raynok/roberta-squad") model = AutoModelForQuestionAnswering.from_pretrained("Raynok/roberta-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Raynok/roberta-squad: direct link, hf CLI and curl.
- Browser
- Download file 497 MB
-
https://huggingface.co/Raynok/roberta-squad/resolve/main/tf_model.h5
- Command line
-
hf download hf://Raynok/roberta-squad/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Raynok/roberta-squad/resolve/main/tf_model.h5
497 MB
- Xet hash:
- 0e959575b783d72db44eaf6f318bfe2e5b8d0f87403ad08babba317809d551d2
- Size of remote file:
- 497 MB
- SHA256:
- f9b65e3cecddaa1ad7f2cdd3e35a2a430d244c027ff771376f30f138f46c09d5
路
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