Instructions to use Iariaf/joy_multilang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iariaf/joy_multilang with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Iariaf/joy_multilang")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Iariaf/joy_multilang") model = AutoModelForSequenceClassification.from_pretrained("Iariaf/joy_multilang", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e4121ce8c953271cde8d4091d81f18a0a2bb95f5444dc9e3b4929a5c62f6709
- Size of remote file:
- 4.09 kB
- SHA256:
- d0899be6af47b3221fac175c5ea3a6deeb0c5335e069dacea1f1ba7b69263092
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