Instructions to use simran-kh/muril-with-mlm-cased-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran-kh/muril-with-mlm-cased-temp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simran-kh/muril-with-mlm-cased-temp")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simran-kh/muril-with-mlm-cased-temp") model = AutoModelForMaskedLM.from_pretrained("simran-kh/muril-with-mlm-cased-temp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4eca9998b632ec1121e1ef4e907fab9195a4c2ec08c222df6e0d6de2bfa3c3af
- Size of remote file:
- 951 MB
- SHA256:
- e84d19fc67481a06fc4cfbe8293454d9afb3a353fe1f202b36218d0915977d20
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