Instructions to use Almancy/practica_3_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almancy/practica_3_model 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="Almancy/practica_3_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Almancy/practica_3_model") model = AutoModelForQuestionAnswering.from_pretrained("Almancy/practica_3_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Almancy/practica_3_model: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Almancy/practica_3_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Almancy/practica_3_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Almancy/practica_3_model/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 69ad956fede87cedf498b1c5ae666444a56e3c8c274f4b4d97827d19c4fb53cd
- Size of remote file:
- 5.18 kB
- SHA256:
- 61f6929c3c32e76bf90df98e7b3723d8aaef7987a63d5730f2aee5537ec384aa
路
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