Instructions to use badokorach/qa_afroxml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badokorach/qa_afroxml 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="badokorach/qa_afroxml")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badokorach/qa_afroxml") model = AutoModelForQuestionAnswering.from_pretrained("badokorach/qa_afroxml", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from badokorach/qa_afroxml: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/badokorach/qa_afroxml/resolve/main/tokenizer.json
- Command line
-
hf download hf://badokorach/qa_afroxml/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/badokorach/qa_afroxml/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- b88c7e0617cb1ef223a2b009cf0e9598b93da64865e30a558cfc44f0944fa994
- Size of remote file:
- 17.1 MB
- SHA256:
- cb52798c3154f898b0d92d384d60928ec1e620e32b98464b61c9089d3d5f4198
路
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