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
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Download README.md from KoichiYasuoka/roberta-small-coptic: direct link, hf CLI and curl.
- Browser
- Download file 669 Bytes
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https://huggingface.co/KoichiYasuoka/roberta-small-coptic/resolve/main/README.md
- Command line
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hf download hf://KoichiYasuoka/roberta-small-coptic/README.md
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curl -L -o README.md https://huggingface.co/KoichiYasuoka/roberta-small-coptic/resolve/main/README.md
669 Bytes
metadata
language:
- cop
tags:
- coptic
- masked-lm
license: cc-by-sa-4.0
pipeline_tag: fill-mask
mask_token: '[MASK]'
roberta-small-coptic
Model Description
This is a RoBERTa model pre-trained on Coptic Scriptorium Corpora. You can fine-tune roberta-small-coptic for downstream tasks, such as POS-tagging, dependency-parsing, and so on.
How to Use
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-small-coptic")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-small-coptic")