Instructions to use summerdevlin46/XLMR-multi-ca-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summerdevlin46/XLMR-multi-ca-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="summerdevlin46/XLMR-multi-ca-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("summerdevlin46/XLMR-multi-ca-fr") model = AutoModelForTokenClassification.from_pretrained("summerdevlin46/XLMR-multi-ca-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4415be15a7e92441b29278ebddd22a86dc19b367cabd0cc296bd51d1749c7147
- Size of remote file:
- 5.37 kB
- SHA256:
- 5e0b3a0e28071f8bf9e2bf95d6a430be8033a787bac73e3c915e45ae9fc7fc30
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