Instructions to use dyyyyyyyy/XTREME_squad_BERT-base-multilingual-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dyyyyyyyy/XTREME_squad_BERT-base-multilingual-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dyyyyyyyy/XTREME_squad_BERT-base-multilingual-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dyyyyyyyy/XTREME_squad_BERT-base-multilingual-cased") model = AutoModelForMaskedLM.from_pretrained("dyyyyyyyy/XTREME_squad_BERT-base-multilingual-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31f3e546d8758aeecfd6975ff8eb92e5a867f20afd9c95ebc3997dd482c09062
- Size of remote file:
- 1.9 kB
- SHA256:
- 00fcbfae6d8f719879de12b9ef0d4f08012fca7518e6fdd2ffdb6eadb570cd1a
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