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:
- 94ac8117cbbcce1e0b77607808cab59aba5157626173d7dab3291d946342a770
- Size of remote file:
- 17.1 MB
- SHA256:
- 87a64ee085e5e14dbc9894857e29a8ac501e74d9842aeb174e22474a30360a64
路
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