Instructions to use cjvt/roberta-en-hi-codemixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/roberta-en-hi-codemixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cjvt/roberta-en-hi-codemixed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cjvt/roberta-en-hi-codemixed") model = AutoModelForMaskedLM.from_pretrained("cjvt/roberta-en-hi-codemixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add multilingual to the language tag (#1)
- Add multilingual to the language tag (1d861c06d4ffb92e7df182598592d34b6148c844) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>58da5f6
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fixed readme and license
3f36a18 -
first submitted version
5194c91 -
initial commit
63653ca