Instructions to use SebOchs/canine-c-lang-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebOchs/canine-c-lang-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SebOchs/canine-c-lang-id")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SebOchs/canine-c-lang-id") model = AutoModelForSequenceClassification.from_pretrained("SebOchs/canine-c-lang-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97316e1de02e1595a36d3a1c2e6c96f3493b7151402dc6a24cb6c8622c5640c8
- Size of remote file:
- 529 MB
- SHA256:
- 245f0cab0e0505357f03f3677cd617cac752d9d8d1e4d049e0b3e7d7c5e857bf
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