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")# pip install -U transformers accelerate # 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 training_args.bin from tsantosh7/Bailii-Roberta: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/tsantosh7/Bailii-Roberta/resolve/main/training_args.bin
- Command line
-
hf download hf://tsantosh7/Bailii-Roberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tsantosh7/Bailii-Roberta/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 105e426dc55ef159778999d58e03e88476d1267e03fe93097db5825cd2dba6ef
- Size of remote file:
- 2.86 kB
- SHA256:
- 3277b72ccfdc51f8080c3eeb57335cded5cad9bea53fba24987ade4f82eed3f2
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