Instructions to use tsantosh7/Bailii-Roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tsantosh7/Bailii-Roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tsantosh7/Bailii-Roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tsantosh7/Bailii-Roberta") model = AutoModelForMaskedLM.from_pretrained("tsantosh7/Bailii-Roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tsantosh7/Bailii-Roberta: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/tsantosh7/Bailii-Roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tsantosh7/Bailii-Roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tsantosh7/Bailii-Roberta/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 746dcf9d36744c392ec15fc8463958db9d9268ff58f975402b00b126687c6481
- Size of remote file:
- 499 MB
- SHA256:
- 51dc7ac68718317aef9f48093da5529ab85fc5ed135fba0ae532c2ac28fe2bbd
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