Instructions to use benjamin/roberta-large-wechsel-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/roberta-large-wechsel-hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="benjamin/roberta-large-wechsel-hindi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("benjamin/roberta-large-wechsel-hindi") model = AutoModelForMaskedLM.from_pretrained("benjamin/roberta-large-wechsel-hindi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from benjamin/roberta-large-wechsel-hindi: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/benjamin/roberta-large-wechsel-hindi/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://benjamin/roberta-large-wechsel-hindi@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/benjamin/roberta-large-wechsel-hindi/resolve/refs%2Fpr%2F1/training_args.bin
2.86 kB
- Xet hash:
- 366ef000089a41c95b4c56ee67939ffc80d98c091254b79439d50c43bbd0a216
- Size of remote file:
- 2.86 kB
- SHA256:
- 643d9ab53f297c3c684aba4a3fa9f9b8d10c3f221c2a8a4c4dc32639479f9b2c
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