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 pytorch_model.bin from benjamin/roberta-large-wechsel-hindi: direct link, hf CLI and curl.
- Browser
- Download file 1.33 GB
-
https://huggingface.co/benjamin/roberta-large-wechsel-hindi/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://benjamin/roberta-large-wechsel-hindi@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/benjamin/roberta-large-wechsel-hindi/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.33 GB
- Xet hash:
- f3a038b183804024eef4916b718fd90a76dd64bb1025c037ad5eca902287ed93
- Size of remote file:
- 1.33 GB
- SHA256:
- aa53f075e2f1a2cf692a7bdda6acb153f392b5f8ce7a850f641db5c5881ab40a
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