Instructions to use krinal214/xlm-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/xlm-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/xlm-all")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/xlm-all") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/xlm-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a39169bb23801e01f03807006bd5b7e9a4214cf292ebf7d688ee9424f82c5db
- Size of remote file:
- 1.11 GB
- SHA256:
- 46b641f6696575f608b7413f47144a7287eb5821c527b4094d8f6b587aa7c1ba
路
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