Instructions to use l3cube-pune/hing-mbert-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hing-mbert-mixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/hing-mbert-mixed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hing-mbert-mixed") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hing-mbert-mixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (61d6d7860148c4ddd8b35f281c590481f2b6fd1e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ca9ab90
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- Add multilingual to the language tag (1347d279a01a4aeb5e6c30aab2173789a4bc27b3) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>8f90be7
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