Instructions to use Marleo2009/model_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marleo2009/model_v5 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="Marleo2009/model_v5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Marleo2009/model_v5") model = AutoModelForQuestionAnswering.from_pretrained("Marleo2009/model_v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Marleo2009/model_v5: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/Marleo2009/model_v5/resolve/main/training_args.bin
- Command line
-
hf download hf://Marleo2009/model_v5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Marleo2009/model_v5/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- e15704c5baaccf1a30410ce726b648867ce792d90df66de1dd6841658a79d71d
- Size of remote file:
- 5.2 kB
- SHA256:
- 85bc0a29fe1fac03dc016f67520a816ee24fd64dfc6c494427277c14b056d5e5
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