Instructions to use mideind/IceBERT-xlmr-ic3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mideind/IceBERT-xlmr-ic3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mideind/IceBERT-xlmr-ic3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mideind/IceBERT-xlmr-ic3") model = AutoModelForMaskedLM.from_pretrained("mideind/IceBERT-xlmr-ic3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61ba20b0cbb2a4ed58d3fc4732a15e27cb1cacdaaf6504b1970cbe7e4216e2fe
- Size of remote file:
- 1.11 GB
- SHA256:
- 0da32d0c1d3561f150cbd24f44450850063144d6e00d4083556dc132cad38c54
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