Instructions to use KoichiYasuoka/roberta-small-coptic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/roberta-small-coptic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/roberta-small-coptic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-small-coptic") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-small-coptic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 225fd2876fbba48cf8297425ae399d5713a9c805c0477c7a28c748a627e53a4d
- Size of remote file:
- 35.2 MB
- SHA256:
- 77020a58a3cfb72e3f4c73f8ac1cb311a92b79cb1d37c2fff878b818a40cf790
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