Instructions to use badokorach/afriqa_afroxlmr_lug_250124 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badokorach/afriqa_afroxlmr_lug_250124 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="badokorach/afriqa_afroxlmr_lug_250124")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badokorach/afriqa_afroxlmr_lug_250124") model = AutoModelForQuestionAnswering.from_pretrained("badokorach/afriqa_afroxlmr_lug_250124", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 054df2295de8751aba930d5aa8d1feaff3caa0144ff231ac9c572d762965ec46
- Size of remote file:
- 1.11 GB
- SHA256:
- 38bd2b906bd58176213ce4c23255f2814f7d59a711c2660470aad32a46f06cf2
路
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