Instructions to use cjvt/muril-en-hi-codemixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/muril-en-hi-codemixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cjvt/muril-en-hi-codemixed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cjvt/muril-en-hi-codemixed") model = AutoModelForMaskedLM.from_pretrained("cjvt/muril-en-hi-codemixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e713139be3eb0659edccbf6ef0b9f731adb844b831d06f2ae7bc686f07236f12
- Size of remote file:
- 4.41 kB
- SHA256:
- c3cdeeac5c64ef58a3919f4edcd09f7bc8ad3fbe1f2741a9fedbf10c91f96ab5
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