Instructions to use lgrobol/xlm-r-CreoleEval_kon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgrobol/xlm-r-CreoleEval_kon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lgrobol/xlm-r-CreoleEval_kon")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lgrobol/xlm-r-CreoleEval_kon") model = AutoModelForMaskedLM.from_pretrained("lgrobol/xlm-r-CreoleEval_kon") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 779f27a9cffe0877a8254d25084c074873c797db5642ad8dda6cfe93c1c037ab
- Size of remote file:
- 17.1 MB
- SHA256:
- 1e8965c3450beb4d80592023f195a4bae67ff992e4805e3ae863fe86723e0750
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