Instructions to use KoichiYasuoka/deberta-small-coptic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/deberta-small-coptic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/deberta-small-coptic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-small-coptic") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-small-coptic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5558a48c95f97b91bbe7bd3cc5e5faf18680e13e03e089e150346b5ad751f7f
- Size of remote file:
- 35.2 MB
- SHA256:
- e0ba29c726cb5a17fe44a13ee8d9a5f7cd65eec12ed54c63505f7ab2584fddee
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